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Qualitative Dissertation Methodology

Qualitative Dissertation Methodology A Guide for Research Design and Methods

  • Nathan Durdella - California State University, Northridge, USA
  • Description

Designing and writing a qualitative dissertation methodology chapter can be done!

Qualitative Dissertation Methodology: A Guide for Research Design and Methods functions as a dissertation advisor to help students construct and write a qualitative methodological framework for their research. Drawing from the challenges author Nathan Durdella has experienced while supervising students, the book breaks down producing the dissertation chapter into smaller pieces and goes through each portion of the methodology process step by step. With a warm and supportive tone, he walks students through the process from the very start, from choosing chairs and developing qualitative support networks to outlining the qualitative chapter and delving into the writing. By the end of the book, students will have completed the most challenging chapter of a qualitative dissertation and laid a strong foundation for the rest of their dissertation work. Corresponding videos featuring the author help concepts come alive for your students. Learn more: Developing Skills in Formulating Qualitative Research Questions Key Skills in Writing a Qualitative Research Proposal

Available with Perusall—an eBook that makes it easier to prepare for class! Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more .

See what’s new to this edition by selecting the Features tab on this page. Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email [email protected] . Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html .

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The beauty of this text is it demystifies the process of constructing a qualitative dissertation methodology. This is the big hurdle a student must cross to make it to degree completion...Overall the text is a solid all-in-one qualitative research manual for students in applied and social behavioral science fields. And with more pressure being put on institutions to increase their graduation rates, this text could very well help more students earn their doctorate degrees.

KEY FEATURES:

  • The book addresses the unique challenges inherent in qualitative research , such as analyzing and interpreting results and ethics and protecting human research participants.
  • A section-by-section approach to methodology chapter development allows readers to develop one part of the methodological framework at a time instead focusing on the dissertation as an overwhelming whole.
  • Doctoral student examples from real, interdisciplinary dissertations illustrate the variety of traditions and techniques available in qualitative methodology and make a complete dissertation seem attainable.
  • “Key Questions to Ask Yourself” and “Questions for Application” ask students to stop and reflect on the concepts in the book and to take what they have learned and apply it to their own research.
  • The book follows the timeline of methodology chapter development so readers can organize their work into manageable steps and operate within the conceptual and tactical work of qualitative dissertation methodology writing.
  • Templates to draft qualitative dissertation methodology chapter sections and subsections serve as structured guides to frame design and writing.

Sample Materials & Chapters

Chapter 2: Understanding a Dissertation as Qualitative Methodology

Chapter 3: Framing a Dissertation Study Through a Research Tradition

For instructors

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Completing Your Qualitative Dissertation: A Road Map from Beginning to End

Student resources, 101 qualitative dissertation questions.

These questions and answers correlate to pages in Completing Your Qualitative Dissertation: A Road Map from Beginning to End, Third Edition , which you have purchased.

As teachers of qualitative research and advisors of doctoral students, we have witnessed and experienced many of the frustrations of students confronted with the academic challenge of writing a dissertation. The questions below have been raised time and again in conversations with students and research colleagues. The intent of including these questions in the companion website for Completing Your Qualitative Dissertation: A Road Map From Beginning to End is that they will hopefully stimulate critical thinking, reflection, and dialogue, thereby motivating doctoral students or prospective doctoral students to seek and consult additional relevant texts and resources in order to delve deeper into the many issues raised. These questions might also be used to prompt discussion between doctoral students and their advisors.

One caveat in compiling this list of questions is to demystify the dissertation process but not to sacrifice intellectual rigor for the sake of simplification. Completing a qualitative dissertation indeed is a rigorous and demanding process, and understanding the process means grasping many complex and interrelated issues.  As a second caveat, one must remember that while most institutions will approach the dissertation in common ways, at the same time there are differences in terms of the organization and presentation, as well as distinct differences in terms of what and how qualitative language and terminology are used. This book presents information as guidelines that are meant to be flexible per institutional expectations and requirements, and subject to modification depending on your institution, department, and program. As such, students should always consult with their advisors and committee members to ascertain specific or particular institutional or departmental requirements.

The questions and answers correspond to the book’s structure and are divided into eight parts:

Parts 1–2 cover conceptual information; that is, the thinking and planning aspects of the dissertation. Parts 3–6 cover the practical aspects involved in preparing to actually write the dissertation. Part 7 includes the detailed requirements related to each of the chapters that compose the dissertation. Part 8 provides the information that one needs regarding the various activities that occur after writing the dissertation. 

  • Part 1: Planning and Gearing Up
  • Part 2: Choosing an Appropriate Qualitative Approach
  • Part 3: Preparing and Writing the Proposal

Part 4: Conducting the Research: Data Collection

Part 5: conducting the research: data analysis, part 6: conducting the research: interpretation and synthesis.

  • Part 7: Writing Up and Presenting the Research

Part 8: Planning for the Dissertation Defense and Beyond

Part 9: preparing for the defense, part 1: planning and gearing up.

1. How does qualitative research and quantitative research differ, and what are the defining features of qualitative research? 

Rather than determine cause and effect, or predict or describe the distribution of an attribute among a population, qualitative researchers are interested in understanding how people interpret their experiences and how they construct their worlds. The two paradigms or orientations that inform qualitative research, namely Interpretivism and Critical Theory, place emphasis on seeking understanding of the meanings of human actions and experiences, and on generating accounts of meaning from the viewpoints of those involved. Both paradigms assume that reality is socially constructed and that there is no single observable reality, but rather multiple realities or interpretations. For more information regarding the key defining features of qualitative research, see pages 37–44; 53–55 .

2. What is implied by “rigor” in qualitative research, and what does it mean to conduct a “rigorous” qualitative study?

Sound research requires a systematic and rigorous approach to the design and implementation of the study, the collection and analysis of data, and the interpretation and reporting of findings. Central to the rigor of qualitative research is whether participants’ perspectives have been authentically represented in the research process, and whether the findings are coherent in the sense that they “fit” the data and social context from which they were derived. Because rigor is about being very transparent, evaluating the quality of qualitative research includes criteria that are concerned with good practice in the conduct of the research (methodological rigor), as well as criteria related to the trustworthiness of interpretations made (interpretive rigor). For more information regarding rigor vis-à-vis qualitative research, refer to pages 162–164; 240–242 .

3. Writing a qualitative dissertation is a long and iterative process. What exactly is this “process,” and what should a student expect?

Writing a dissertation is a process but not one that is neat and linear. This work is intellectually rigorous—requiring intensive thinking, preparation, and planning—and is very much a matter of having tenacity, perseverance, and patience. For most people, conducting research and writing a document such as this is a first-time endeavor, an undertaking for which there is little experience. For a broad overview of the qualitative dissertation process, see page 3 .

4. How does one manage data in the most efficient and practical manner throughout the dissertation process?

As you proceed with your research, you will begin to gather and accumulate a diverse array of material that has potential relevance. You certainly do not want to lose any of your material, nor do you want to drown in it. Organizing and managing dissertation-related “stuff” right from the beginning is essential to getting on track and staying focused. For more information regarding data management strategies, see pages 19–20; 65–66 .

5. How can I start thinking about planning my time and resources?

The ability to focus, problem-solve, and make informed decisions at every step of the way will bring your study to completion. Because the time commitment required is substantial, you will need to pace yourself from the beginning. For some practical strategies, suggestions, and tips, see pages 20–23.

6. What would be a realistic timeline in which to complete my dissertation, and how can I remain practical about this?

If you work on your dissertation only when you feel like it, the project will most likely never be completed. Scheduling your time allows you to develop a plan for writing, and also helps reduce the pressure associated with deadlines, as well as the tendency to procrastinate. Moreover, setting a schedule also helps integrate your writing into the rest of your life. There are some basic principles for developing an effective writing schedule, and these can be found on pages 35–36.

7. Journaling is said to be an integral aspect of the qualitative dissertation process. Why is this necessary?   Aside from keeping track of information, you also need to keep track of your thinking. One way to ensure that you preserve your reasoning and thinking and are able to spell out the development of your ideas, is to keep a research journal. The rationale for recording your thinking is explained on page 23.  

8. What is the actual starting point of any qualitative dissertation?

The starting point for any research project, and indeed the first major challenge in conducting research, involves identifying and developing a sound topic. How to go about selecting a worthy and researchable topic and considering potential options is described on page 24.

 9. Does my selected topic need to be original or unique?

A dissertation should be an original piece of research and should make a significant contribution to the field. However, it is important to remember that making an original contribution does not imply that there need be an enormous “breakthrough.” In social science research, the discovery of new facts is rarely an important or even challenging criterion. Rather, research is a process of searching or re-searching for new insights; it is about advancing knowledge or understanding of a practice or phenomenon. More information on going about selecting a topic is provided on page 27.

10.  Once I have decided on an area of interest, how do I go about developing and refining a researchable topic? 

Once you have identified a general area of interest, you will need to begin narrowing your topic. The process of developing a researchable topic is a process of idea generation—the movement from a general interest “out there” toward a more clearly refined idea around a researchable problem. More about this “narrowing” process is discussed on pages 28–30.

Part 2: Choosing an Appropriate Qualitative Approach 

11. What are the most common traditions or genres of qualitative research, and what are the key differences between them? 

There are numerous qualitative traditions or genres, each of which has ways of defining a research topic, critically engaging the literature on that topic, identifying significant research problems, designing the study, and collecting, analyzing, and presenting the data so that it will be most relevant and meaningful. Understanding the logic behind a research approach allows your study to be appropriately positioned within an inquiry tradition and also lays the foundation for supporting your study’s findings. Pages 44–45 offer a descriptive and critical overview of some of the most current qualitative traditions.  

12. What are the key characteristics of Case Study methodology, and how do I conduct a case study?

As a form of qualitative research methodology, case study is an intensive description and analysis of a bounded social phenomenon (or multiple bounded phenomena)—be this a social unit or a system such as a program, institution, process, event, or concept. Case study is at the same time both a methodology (a type of design in qualitative inquiry) and an object of study. Case study is an exploratory form of inquiry that affords significant interaction with research participants, providing an in-depth picture of the unit of study. More information can be found on pages 46–47.

13. What is Ethnography and how is an ethnographic study conducted?

Ethnography, as both a method and a product, has multiple intellectual traditions located in diverse disciplines. The researcher studies a cultural or social group in its natural setting, closely examining customs and ways of life, with the aim of describing and interpreting cultural patterns of behavior, values, and practices. Rooted in cultural anthropology, ethnography involves extended observations of the group, most often through the researcher as a participant observer becoming immersed in the day-to-day lives of the participants. More information can be found on pages 47–48.

14. What is Phenomenology, and what are the characteristics of a phenomenological study?

Phenomenology is both a philosophy and a method, the purpose of which is to investigate the meaning of the lived experience of people to identify the core essence of human experience or phenomena as described by research participants. Phenomenology does not endeavor to develop a theory to explain the world; rather, the aim is to facilitate deeper insight to help us maintain greater contact within the world. Phenomenologists focus on describing what all participants have in common, the basic purpose of research being to reduce individual experiences with a phenomenon to a description of the universal essence. More information can be found on pages 48–49.

15. What is Grounded Theory, and what does a grounded theory study look like?

The purpose of grounded theory is to inductively generate theory that is grounded in, or emerges from, the data. A core component of grounded theory is to move beyond description and to have the researcher generate or discover a theory that is “grounded” in data from the field—especially in actions, interactions, and social processes. Research involves multiple recurrent stages of data collection and the refinement of abstract categories of information. More information can be found on pages 49–50.

16. What is Narrative Inquiry, and how does one go about conducting this type of research?

Narrative research has many forms, incorporates a variety of practices and applications, and is rooted in different social disciplines. As a method, narrative research begins with the experiences as expressed in lived and told stories of individuals or cultures. In this form of research, the researcher studies the lives of one or more individuals through the telling of stories, including poetry, play, or performance. Paramount to all narrative work is the centrality of relationship in the research process and recognition of the sacredness of the stories that participants share and trust within the research environment. Uncertainty and tension guide the work, and rather than produce conclusive findings, the process is intended to offer understanding and meaning. More information can be found on pages 50–51.

17. What is Action Research, and what is an action research study?

Action research is a systematic orientation toward inquiry that seeks effective solutions to complex problems that people confront in their communities and organizations. Especially valuable to those involved in professional, organizational, and community research, action research focuses on specific situations that people encounter by engaging them in collaborative relationships and working on developing localized solutions. Action research, being about collaborative and democratic practices, makes it essentially political because it aims to influence processes of change. Action research is an intervention because it promotes actual change. More information can be found on pages 51–52.

18. What are Postmodernism, Poststructuralism, and Critical Theory Research?

In the past two decades, a critical turn has taken place in the social sciences, humanities, and applied fields, with scholars challenging the historical assumptions of neutrality in inquiry, asserting that all research is fundamentally political. It is increasingly argued that research involves issues of power and that traditionally conducted social science research has silenced, marginalized, and oppressed groups in society by making them the passive objects of inquiry. Postmodernism views the world as complex and reality as transitional. In recognition of the socially constructed nature of the world, meaning rather than knowledge is sought because knowledge is seen as constrained by the discourses that were developed to protect powerful interests. Poststructuralism, with its emphasis on language, forms a subset of postmodernism. More information on these genres can be found on pages 52–53.

19. With all the different options available, how do I go about choosing an appropriate qualitative research approach for my study?

The choice of research approach is directly tied to one’s research problem and purpose. A research problem should not be modified to fit a particular research approach; nor can you assume a particular qualitative approach regardless of your research problem. Having decided on a qualitative research approach, you will proceed to appropriately design your study within the framework of one of the traditions or genres of qualitative inquiry. Thus, the components of the design process (e.g., the theoretical framework, research purpose, and methods of data collection and data analysis) reflect the principles and features that characterize that tradition. More information can be found on pages 55–56.

Part 3: Preparing and Writing the Proposal 

20. What exactly is the dissertation proposal, and what is its function and purpose?

The proposal is an integral and very distinct segment of the dissertation process. It is a well-thought-out written action plan that identifies a narrowly defined problem; a purpose that describes how the problem will be addressed; research questions that are tied to the purpose and, when answered, will shed light on the problem; a review of the literature and relevant research to determine what is already known about the topic; and data collection and data analysis methods. More information regarding the content and process of the dissertation proposal can be found on pages 61–62.

21. How do I go about developing my proposal, and what are the key components of a qualitative dissertation proposal?

As mentioned at the outset of this book, and as you will be reminded throughout, while most institutions approach the proposal and dissertation in common ways, at the same time there are differences in terms of the organization and presentation, and distinct differences in terms of what and how qualitative language and terminology are used. This book presents information as guidelines that are meant to be flexible per institutional expectations and requirements, and subject to modification depending on your institution, department, and program. You will no doubt have to attend carefully to the variations that reflect the expectations and requirements of your particular institution. More information pertaining to the core elements of a qualitative proposal (introduction, literature review, and methodology) can be found on pages 63–65.

22. What are some additional elements that I should be aware of when preparing my proposal?

In addition to the three key parts of the proposal (introduction, literature review, methodology), there are some other elements that you will need to address, and information regarding these elements can be found on pages 65–66.

23. What is an elevator speech?

You may have heard the term "elevator speech." This refers to your ability to clearly and concisely answer the question "what is your study about?" A few points about an elevator speech and its relationship vis-a-vis your proposal are presented on page 66.

24. The idea of a “literature review” really scares me! There seems to be so much that is required! How do I even begin to think about it? 

Literature review is a distinct form of academic writing, a skill that doctoral candidates must master to demonstrate knowledge of the literature landscape that surrounds any given dissertation research problem. Right from the beginning, the literature review is an essential, integral, and ongoing part of the research process. Producing good reviews is a test of your ability to manage the relevant texts and materials, analytically interpret ideas, and integrate and synthesize ideas and data with existing knowledge. Guidelines and suggestions regarding undertaking, managing, and operationalizing literature reviews are provided on pages 105–108.

25. What are some of the most important guidelines regarding academic writing?

A dissertation demonstrates your ability to write a coherent volume of intellectually demanding work. It involves the combination of performing research and writing about your research to describe and explain it. As a researcher/writer, knowing how to best express your ideas in written form to convey them to the reader becomes an essential skill. The dissertation requires a high level of scholarly writing, and as such you will have to get into the mode of writing for a particular audience, that is, the academic community. Further information regarding academic writing requirements is presented on pages 66–68.

26. What are the general format and style requirements for a qualitative dissertation?

A research report must consistently follow a selected system for format and style. Format refers to the general pattern of organization and arrangement of the report. Style refers to appropriate writing conventions and includes rules of grammar, spelling, capitalization, and punctuation to be followed in preparing the report. Most colleges and universities require the use of a specific style—either their own or that in a published style manual. You will need to make inquiries regarding your particular department’s recommended style preference. Regardless of which style manual you use, you are expected to adhere to its rules meticulously. Further information regarding format and style is presented on pages 68–70.

27. What are some of the most important aspects of academic integrity, and what constitutes plagiarism?

The strength of your writing rests on your ability to refer to and incorporate the work of others. It is imperative, however, that you attribute recognition to all and any sources of information that you use. Integrity matters! There are few intellectual offenses more serious than plagiarism in academic and professional contexts. A charge of plagiarism can have severe consequences, including expulsion from a university or loss of a job, not to mention a writer’s loss of credibility and professional standing. Further information regarding academic integrity and strategies for avoiding plagiarism is presented on pages 71–73.

28. What is Institutional Review Board (IRB) approval, and why is it necessary?

Any research designed to research human subjects, interact with human subjects, provide interventions for human subjects, obtain identifiable information about living subjects, or observe and record private behavior of human subjects, must come under the jurisdiction of the governing board of Institutional Research. Institutional Review Boards (IRBs) have emerged in accredited academic institutions of higher education as bureaucratic entities responsible for the regulation, governance, and enforcement of significant research ethics. While there are some variations across disciplines and national boundaries, IRB approval is a stamp of credibility backed by a legitimate academic institution. This credibility is valuable both for the researcher and for the research participants. Further information regarding application for IRB approval is discussed on pages 74–75.

29. What are the differences between “methodology” and “research methods”?

Methodology determines how the researcher thinks about a study, how decisions about the study are made, and how researchers position themselves to engage firstly with participants and then with the data that are generated. The term methods commonly denote specific techniques, procedures, or tools used by the researcher to generate and analyze data. The methods that a qualitative researcher chooses are informed by both the research design and the research methodology so that there is a conceptual fit across all levels. More about methodology and methods, and the interrelationship between them, can be found on page 157 .

30. What is meant by “methodological congruence”?

As the researcher, you actively create the link among problem, purpose, and approach through a process of reflecting on problem and purpose, focusing on researchable questions and considering how to best address these questions. Thinking along these lines affords a research study “methodological congruence.” In essence, the position of the researcher is the bridge between philosophy, methodology, and the application of methods. Thus, the alignment between the research question, chosen methodology and personal philosophy, and the ability of the researcher to be reflexive in relation to the research is critical to ensure congruence in the study that will be manifested in the products of the research. More information regarding the notion of methodological congruence can be found on pages 153–154.

31. What are the most commonly used methods of data collection in qualitative research?

Based on the research questions, specific data collection methods are chosen to gather the required information in the most appropriate and meaningful way. A solid rationale for the choice of methods used is crucial, as this indicates methodological congruence, and illustrates that the choice of methods is grounded in the study’s overall research design. Details pertaining to some of the most commonly used methods of data collection (e.g., interviews, focus groups, observation, critical incidents, surveys, and document review) can be found on pages 154–157.

32. What is meant by “triangulation” of methods, and how important is this?

Triangulation enhances the quality of data from multiple sources (e.g., people, events) in multiple ways (e.g., interviews, observations, document review) with the idea that this will illuminate different facets of situations and experiences, and help portray them in their entirety and complexity. More about triangulation strategies and the significance thereof in qualitative research can be found on page 154.

33. What are some of the most important considerations when writing up the methods section?

To show that you have done a critical reading of the literature, and to acknowledge that data collection methods are not without some advantages, your discussion should be sufficiently detailed. More information pertaining to these necessary details is presented on page 158.

34. The idea of “researcher as instrument” is often portrayed as problematic. How do I best understand this phenomenon, and how can I go about defending this perspective to those who see qualitative research as limited and subjective?

“Researcher as instrument” raises important ethical, accountability, and social justice issues, including inter-subjectivity, power, positioning, and voice. Importantly, the reflexive researcher understands that all research is value-bound and that a reflective stance is therefore imperative; that is, reflexivity implies the explicit self-consciousness on the part of the researcher, including social, political, and value positions. Reflexivity is defined as the researcher’s conscious awareness of her or his cognitive and emotional filters comprising their experiences, world-views, and biases that may influence their interpretation of participants’ perceptions. More information on this key qualitative research issue can be found on pages 54–55; 242–243.

35. What is qualitative data analysis really all about?  

Qualitative data analysis is the process of bringing order, structure, and meaning to the masses of data you have collected. Although there are stages dedicated to formal analysis, analysis is an inherent and ongoing part of the research and writing process. Many students become overwhelmed at this point of the dissertation process, having completed or still being immersed in data collection and faced with mounds and mounds of “stuff” and unsure about what needs to be done first. Indeed, there can be a really vast amount of data that need to be transcribed, organized, and reduced. More on qualitative data analysis can be found on pages 187–189.

36. What advice is there for student researchers to best prepare themselves for the huge task of data analysis?

The data generated by qualitative methods are voluminous, and the sheer quantity of raw data can indeed be quite daunting. The best piece of advice I can offer is that if data are to be thoroughly analyzed, they must be well organized . Attention to detail in managing data is important at every stage of the research process. This notion becomes all too clear when it is time to write up the research. Strategies regarding data management in preparation for data analysis are presented on pages 189–190.

37. What does it mean to develop an “analytic mindset”?

Qualitative research does not purport to be objective nor is this a goal of qualitative research. However, to be rigorous, qualitative research does strive to be transparent, and to openly and clearly document and communicate all decisions taken throughout the research process. This must become an integral part of your thinking and mindset. More about ways of maintaining transparency, and hence ensuring the rigor of your study, is discussed on pages 158–159; 188–189.

38. There are many different ways to go about doing qualitative data analysis. How do I decide on the best approach for my specific study?

Different qualitative research traditions or genres promote specific strategies for data analysis. Whatever approach you choose to use should be suited to the research tradition that you have adopted. In addition, the preference of your advisor and your department will of course need to be taken into consideration. Different analytic strategies are discussed on pages 190–193.

39. What are “codes,” and what are their role and function in the qualitative data analysis process?

Much is made about coding as a fundamental skill for qualitative analysis. Although there is really nothing that mysterious about it, the literature on data analysis and coding in particular is voluminous, and the vast amount of information can certainly be overwhelming. Details pertaining to codes and the overall coding process are provided on pages 197–199.

40. What is the procedure for coding data?

The reason you have spent so much time and energy talking to participants is to find out what their experience is and to endeavor to understand it from their perspective. You, as the researcher, will be exercising judgment as to what you think is significant in each interview transcript. Some passages may stand out because they are striking to you in some way. Others may stand out because they are contradictory and seem inconsistent with your conceptual framework. In this regard, you must be vigilant in not only seeking material that supports your own opinions but also remaining open to the unexpected. All of the aspects of coding your material are presented on pages 201–202.

41. What do you do once you have coded your data?

Once you have coded your material, you are ready to categorize your units of information. What is imperative is that your coding scheme and conceptual framework continue to remain flexible. All aspects of the process of assigning your codes to categories are presented on pages 202–204.

42. What is content analysis, and how does it differ from coding?

In traditional content analysis studies, counting the number of times a particular set of codes occurs is an important measure in assessing the frequency of items or phenomena. However, in the qualitative analysis process, frequency of occurrence is not necessarily an indicator of significance. The analytic approaches for most coding methods do not ask you to count; they ask you to ponder, speculate, assess, integrate, and synthesize. Qualitative analysis therefore goes way beyond simply counting . See pages 199–200 for further discussion on this distinction.

43. There is a lot of talk around computer software analysis programs? What types are available, and are these preferable than conducting a manual “old fashioned” analysis of my data?

If you choose to make use of computer aided software, then searching for the most appropriate program is important so that it directly supports and is usable in terms of your study’s research design and methodology. Information regarding the most common software currently in use, including benefits and limitations, is provided on pages 205–207.

44. How does “data analysis” differ from “interpretation of findings”?

By way of data analysis , you are forming a record of frequently occurring phenomena or patterns of behavior. Once you have established patterns, these patterns need to be explained.  This is where interpretation of findings comes into play. Whereas the chapter of data analysis presents the findings of your research by organizing data from various sources into categories to produce a readable narrative, the purpose of the chapter dealing with interpretation of findings is to provide interpretative insights into your study’s findings. You now have an opportunity to communicate to others what you think your findings mean and integrate your findings with literature, research, and practice. More about this is discussed on pages 233–236.

45. What essentially is “interpretation” in qualitative research? How do I go about interpreting what I have found?

Qualitative research begins with questions, and its ultimate purpose is learning. To inform the questions, the researcher collects data . Data are like building blocks that, when grouped into patterns, become information , which in turn, when applied or used, becomes knowledge . The challenge of qualitative analysis lies in making sense of large amounts of data—reducing raw data, identifying what is significant, and constructing a framework for communicating the meaning of your findings. This is discussed on pages 240–243.

46.  How and in what ways does analysis of findings differ among the various qualitative research traditions?

Analytical approaches are linked to particular forms of data collection and are underpinned by specific conceptual and philosophical traditions. These differences are discussed on page 238.

47. How and in what ways does interpretation of findings differ among the various qualitative research traditions?

Just as there are clear analytic distinctions among traditions or genres demanding that the researcher will have to think about data analysis in a particular way, so are interpretation and representation strategies specific to each tradition. These differences are discussed on page 241.

48. How do I prepare myself for analysis and interpretation?

You might ask yourself what the chapter on interpretation of findings is really all about and what it should constitute. Since findings are not to be taken at face value, how does one go about seeking the deeper meanings behind the findings? What is really involved? And how does one get started? How to begin thinking about your analysis and interpretation is presented on page 236.

 49. How do I begin to go about analyzing and interpreting my findings? 

You are most likely asking yourself what the chapter on analysis of findings is really all about and what it should constitute. How does one get started, and what is really involved? You may want to structure your thinking according to three interrelated activities: (a) Seeking significant patterns and themes among the findings, (b) making use of description and interpretation, and (c) providing some sort of synthesis or integration. More about these activities and how to go about “peeling back” the many layers in order to explain the meaning behind your findings is provided on pages 236–244.

50. What are the limitations of my credibility in the analytic and interpretive process? After all, I bring my own perspectives and experiences, and hence assumptions, subjectivity and biases!

Whereas in quantitative research the role of the researcher is detached with the aim of being as objective as possible, in qualitative research, the researcher is personally involved, believing that research is always value-bound. Factors that enhance the credibility of a qualitative study are discussed on page 244.

51. A lot is made about the notion of “synthesis.” What are the implications of synthesizing findings in qualitative research?

Qualitative research involves moving from a holistic perspective to individual parts (analysis) and then back to a holistic look at the data (synthesis). Whereas the findings chapter splits apart and separates out pieces and chunks of data to tell the “story of the research,” the analysis chapter is an attempt to reconstruct a holistic understanding of your study. Analysis is intended to ultimately depict an integrated picture. More details are presented on pages 243–244.

Part 7: Writing Up and Presenting the Research 

You will notice that the questions in Part 7 below are organized around particular standard dissertation chapters. Please be aware that different institutions have different expectations and requirements with regard to the structure and flow of dissertation chapters. Students will need to consult with their advisors in this regard. 

7.1 Introduction to the Study 

52. What is the overall purpose of Chapter One (the study’s Introduction), and what are the key components of this chapter?

The first chapter of your dissertation is the most critical, and everything that follows hinges on how well this chapter is constructed. The introductory chapter therefore sets the stage for the study; it also makes a case for the significance of the problem, contextualizes the study, and provides an introduction to its basic components—most specifically, directing the reader to the research problem, research purpose, and research questions. This first chapter of the dissertation also forms part of the proposal. The various elements that comprise this chapter are discussed on pages 9–10; 85.

53. How do I move from identifying a research topic to developing and articulating a viable research problem?

The sooner you can begin to narrow your research interests (topic) and identify and develop a topical focus (research problem), the better.  Beginning researchers often confuse a topic with a research problem. A topic refers to a general area of interest. A research problem is more specific; it seeks to understand some aspect of the general topic. More on how to begin narrowing down a research topic and developing a clear research problem is discussed on pages 86–88.

54. What is the research problem, and how does this inform the development of research purpose and research questions?

At the heart of a dissertation is the articulation of the research problem. This is the place where most committee members go first to understand and assess the merits of a proposal or a dissertation. More on the research problem and how it informs the research questions is discussed on pages 88–91.

55. How do I go about developing and honing my research problem statement?

The problem statement serves a foundational role in that it communicates what is the formal reason for engaging in the dissertation in the first place. The problem statement is the discrepancy between what we already know and what we want to know. The problem statement also illustrates why we care; that is, why your study should be conducted. More details about what constitute a viable problem statement, and how to go about assessing viability, is discussed on pages 87–89.

56. What is the purpose statement, and how do I articulate this?

Once you have identified your own narrowly defined topic and concise problem statement, you are ready to formulate your purpose statement. The purpose statement is the major objective or intent of the study ; it enables the reader to understand the central thrust of the research.  More about the purpose statement and how to go about developing this is discussed on pages 88–90.

57. How do I develop and articulate effective and relevant research questions?

The research questions are directly tied to the research purpose. Answering the questions must accomplish the study’s purpose and contribute to shedding light on and addressing the problem. One must be able to trace all the ideas in the research questions back through the purpose statement to the problem statement; this underscores that you must ask relevant and effective questions. Details regarding how to craft research questions are included in pages 90–92.

58. What are some other additional elements that need to be included in the introductory chapter?

The first chapter of your dissertation (and of your proposal) introduces and describes the critical components that set in place a research study: problem, purpose, and research questions. In addition, there are some other associated elements or subsections. It should be noted that there may be some variations in required subheadings depending on individual programs and/or universities, and you should be sure to check for this. An outline of typical subheadings that compose Chapter One is presented on pages 92–94.

7.2 The Literature Review Chapter

59. What is the function and purpose of the literature review chapter in the qualitative dissertation?

The literature review is a sophisticated form of research in its own right that requires a great deal of research skill and insight. You are expected to identify appropriate topics or issues, justify why these are the appropriate choice for addressing the research problem, search for and retrieve the appropriate literature, analyze and critique the literature, create new understandings of the topic through synthesis, and develop a conceptual framework that will provide the underlying structure for your study. More on the function and purpose of the literature review chapter is presented on pages 104–105.

60. What is the scope of the literature review chapter in the dissertation? In other words, how extensive is the review meant to be?

The major purpose of reviewing the literature is to determine what has already been done that relates to your topic. This knowledge not only prevents you from unintentionally duplicating research that has already been conducted, but it also affords you the understanding and insight needed to situate your topic within an existing framework. Therefore, a thorough search and reading of related literature is, in a very real sense, part of your own academic development—part of becoming an “expert” in your chosen field of inquiry. Given all of this, you might be asking, “What is the scope of a literature review, and how extensive will this review need to be?” These questions are responded to on pages 105–108.

61. How do I start preparing for the literature review?  

Thinking about the entire literature review may be overwhelming and intimidating. Instead of viewing it as one big whole, try to think of it as a series of steps—and steps within those steps—and prepare to tackle each topic one by one, setting small achievable goals within each topic area. The different stages of the literature review process, and all the key elements involved in digesting scholarly sources, are discussed on pages 108–118.

62. What is the idea of “synthesis” vis-à-vis the literature review? And how is synthesis different from summary?

Synthesis and summary are strategies that are used in reading, review, and research. Both are important skills or techniques in making sense of what one is reading, and each one plays an important role in the qualitative research process. However, they are very different activities. Each has a different purpose, process, and outcome. This is discussed on pages 121–122.

63. What should I know about and be aware of with regard web/online resources?

Although not always scholarly, the Internet will more than likely be your initial starting point for topic ideas and information. However, anyone anywhere can put information on the web, so any information from the Internet should be cited with caution. Remember that using the Internet to find academic information takes a lot of hard work to carefully evaluate and determine if a web resource is a reliable, authoritative, or even a scholarly information resource. Criteria for evaluating the credibility, accuracy, currency, and legitimacy of web resources are discussed on pages 113–114.

64. How do I present my literature review in the dissertation?

Qualitative researchers use existing literature to guide their studies in various ways depending on the type of study being conducted. There are also differences regarding the purpose and process for presenting the review of the literature with respect to each of the research traditions. Guidelines for presenting a literature review are discussed on pages 122–124.

65. So much is made of the conceptual framework. What is it, and how can I start thinking about this?

Graduate students often lack a clear understanding of the nature of the conceptual framework; what it is, its purpose, where it is derived from, how it is developed, how it is used, and what effect it has on research. Thus, they find themselves at a loss in the process of developing a conceptual framework. Moreover, oftentimes experienced researchers and advisors encounter challenges in guiding candidates as to what constitutes a rigorous and meaningful conceptual framework. As such, the structure and function of a conceptual framework continues to mystify and frustrate. More information on this is presented on pages 124–127.

66. What are the role, function, and application of the conceptual framework in the dissertation?

The conceptual framework plays a central role throughout the entire research process, and, most important, in the final analysis. A well-conceived conceptual framework is influenced by and at the same time influences the research process at all levels and at all stages. There are a set of distinct roles and functions of the conceptual framework in a qualitative dissertation, and these are discussed on pages 127–128.

67. What is the essential value of the dissertation’s conceptual framework? And are there any limitations associated with a conceptual framework?

The conceptual or theoretical framework strengthens your study in many ways, and there are also some caveats to be aware of. The value and limitations are explained on pages 128–130.

68. How do I go about developing and presenting my study’s conceptual framework? Does this have to be an elaborate diagram?

In acknowledging the conceptual framework as an integral element of the research process, as a qualitative researcher, you need to know how to develop and create a conceptual or theoretical framework and where to introduce this in the dissertation. The term is somewhat an abstract notion, conjuring up a “model” or “diagram” of some sort. Moreover, there is no uniform and consistent definition, and discussions in the literature around conceptual frameworks are not clear or precise. Strategies for developing the conceptual framework and ideas for presenting it in the dissertation are discussed on pages 130–132. 

7.3 The Methodology Chapter

69. What is the purpose of the Methodology chapter?

The Methodology chapter of the dissertation presents the research design and the specific procedures used in conducting your study. In this chapter, you will show the reader that you understand the methodological implications of the choices you have made and, in particular, that you have thought carefully about the linkages between your study’s purpose and research questions, and the research approach and research methods that you have selected. More details regarding the purpose of this chapter are presented on pages 143–145.

70. What are the key components of the Methodology chapter?

The dissertation’s methodology chapter covers a lot of ground. In this chapter, you will document each step that you have taken in designing and conducting the study. This chapter situates the study within a particular methodological tradition and provides a detailed description of all aspects of the design and procedures of the study. While your headings and subheadings in this chapter are contingent on your particular university’s requirements, make sure your sections are in a logical sequence and what you write is comprehensive, clear, precise, and sufficiently detailed. An overview of the elements that would constitute a comprehensive and sound methodology chapter is presented on pages 11–12; 146–147.

71. What is the research sample, and how is this different from the research population?

The research sample is a subset of the population. Identifying your research sample, and the method you used to select that sample, provides the reader with some sense of the scope of your study. In addition, your study’s credibility relies on the quality of procedures you have used to select the research participants. Further information regarding qualitative research samples is provided on page 147.

72. How do I go about selecting my research sample, and how large does it need to be?

In qualitative research, selection of the research sample is purposeful . The logic of purposeful sampling lies in selecting information-rich cases, with the objective of yielding insight and understanding of the phenomenon under investigation. This method is in contrast to the random sampling procedures that characterize quantitative research, which is based on statistical probability theory. Further information regarding purposeful sampling and sample size is discussed on pages 148–149.

73. What kinds of information am I going to need from the research site and research sample?

Four areas of information are typically needed for most qualitative studies: contextual, perceptual, demographic, and theoretical. Additional details regarding the types of information needed, and how to go about collecting that information, are discussed on pages 149–151.

74. What is “research design,” and what are the implications of the choice of research design for my study?

Engaging in research involves choosing a study design that corresponds with your study’s problem, purpose, research questions, choice of site, and research sample. This calls to the fore the concept of methodological congruence, whereby all the study’s components are interconnected and interrelated so that the study itself is a cohesive whole rather than the sum of fragmented or isolated parts. You will also need to consider whether the design is a comfortable match with your worldview and your skills. How to go about developing the research design of your study and the criteria to take into consideration in doing so are presented on pages 151–152.

75. What are the key ethical considerations in conducting qualitative research?

In any research study, ethical issues relating to the protection of the participants are of vital concern. As researchers, we are morally bound to conduct our research in a manner that minimizes potential harm to those involved in the study. For the most part, issues of ethics focus on establishing safeguards that will protect the rights of participants and include informed consent, on protecting participants from harm, and on ensuring confidentiality. As a qualitative researcher, you need to remain attentive throughout your study to the researcher–participant relationship, which is determined by roles, status, and cultural norms. Central issues with regard to ethics in qualitative research are discussed on pages 161–162.

76.  How do I best understand issues of “trustworthiness” or “legitimation” regarding qualitative research?

Qualitative research is based to a large degree on reflection and interpretation. The researcher as instrument brings her or his experience and perspective to the table. Qualitative research does not purport to be objective, nor is this a goal of qualitative research. However, to be rigorous, qualitative research does strive to be transparent and to openly, legitimately, and clearly document and communicate all decisions taken throughout the research process. Issues of trustworthiness in qualitative research (credibility, dependability, and confirmability) and how these compare with quantitative research criteria are discussed on pages 162–163.

77. How can I better understand conflicting reports about the generalizability of qualitative research?

Although generalizability is not the intended goal of qualitative research, what must be addressed is the issue of transferability ; that is, the ways in which your reader determines whether and to what extent some of the elements of your study can be used as a way to understand similar elements of another context. Exactly what transferability implies and how to account for transferability in your qualitative study are discussed on page 164.

78. What is meant by “limitations” and “delimitations” in a qualitative research study, and what is the difference between these two concepts?

Limitations of the study are the characteristics of design or methodology that expose the conditions that may weaken the study. Delimitations refer to the initial choices made about the broader, overall design of your study and are those characteristics that define and clarify the conceptual boundaries of your research . More about limitations and delimitations and how to account for these in your study is discussed on pages 164–166.

7.4. Analyzing Data and Reporting Findings 

79. What constitutes the dissertation’s findings analysis chapter?

In this chapter, you present the analysis of your raw data, which are your findings. You have now moved beyond data to information . The challenge of qualitative analysis lies in making sense of large amounts of data, identifying what is significant, and constructing a framework for communicating the essence of what the data reveal. This chapter lays the foundation for the analysis, conclusions, and recommendations that will appear in subsequent chapters. Factors to take into consideration when preparing and writing this chapter, as well as a suggested outline, are provided on pages 13; 187–189.

80. What is the procedure involved in qualitative data analysis, and what is the role of the conceptual framework?

Data analysis demands a heightened awareness of the data and an open mind to recurring and common threads, some of which may be subtle. The process can be repetitious, tedious, and time consuming. While there is a somewhat systematic and stepwise procedure to prepare and analyze the data, the interrelationship among these steps is not necessarily linear. The phases involved in data analysis and the integral function of your conceptual framework are presented on pages 193–197.

81. How are research findings to be presented in a qualitative dissertation?

As the researcher, your goal is to tell a story that should be vivid and interesting, while also accurate and credible. In your report, the events, the people, and their words and actions are made explicit so that readers can experience the situation in a similar way to the researcher, as well as experience the world of the research participants.

Qualitative analysis is a creative and ongoing process that requires thoughtful judgments about what is significant and meaningful in the data. General guidelines for presenting this chapter are presented on pages 207–208.

82. What does this mean to present findings by way of quotation categories, and how do I go about doing this?

In qualitative research, interviewing is usually the major source of the data needed for understanding the phenomenon under study. The findings of qualitative research are typically reported in a narrative manner. Reports of qualitative studies usually include extensive samples of quotations from participants, and these provide the detail and substantiate the story that you are telling. An overwhelming question facing any researcher embarking on the write-up of the research report is, “Where do I begin to tell my story?” The various steps involved in this process are discussed on pages 208–212.

83. What is meant by thematic presentation of findings?

While the standard form of presenting quotes in qualitative research is to weave the quotes into your narrative, this is not the only form. Quotes can also be presented within charts, tables, or figures, with the overall goal to convey the story-line of your research according to the most predominant themes. More about this way of presenting findings can be found on pages 212–213.

7.5 Analysis and Interpretation of Findings 

84. What is the role and function of the analysis and synthesis chapter?

The previous chapter of the dissertation involved the analysis of data to produce the study’s findings. Organizing, preparing, and presenting the findings of your research is a somewhat objective exercise; the researcher is, in this instance, a reporter of information. This chapter involves the analysis, interpretation, and synthesis of those findings . Both chapters involve analytic decisions, and these two chapters together should convince a reader that you, the researcher, are sufficiently knowledgeable about the interlocking analytic processes that constitute qualitative research. Further details pertaining to this chapter’s place in the dissertation are provided in pages 13–14; 233–236.

85. What does it mean to seek patterns and themes?

Qualitative analysis is essentially about searching for patterns and themes; that is, the trends that you see emerging from among your findings. Now again, when you are analyzing your findings, you look for themes once again—this time not in raw data but in the findings that have emerged. Bear in mind that analytical approaches are linked to particular forms of data collection and are underpinned by specific conceptual and philosophical traditions. Each tradition provides a perspective on reality that is specific to that tradition. More on this is discussed on pages 238–240.

86. Once I have established patterns and themes, how do I go on to describe and interpret my study’s findings?

A qualitative dissertation should not only provide sufficient description to allow the reader to understand the basis for an interpretation but also provide meaningful interpretation to allow the reader to appreciate the description. An interpretive reading of your data involves constructing a version of what you think the findings mean or represent or what you think you can infer from the findings . Interpretation, in effect, moves the whole analytic process to a higher level. Guidelines for interpreting your material are presented on pages 240–243.

7.6 Conclusions and Recommendations Chapter

87. Formulating the study’s conclusions and recommendations constitute the final chapter of the dissertation. What should I be aware of regarding this chapter?

The final chapter of the dissertation presents a set of concluding statements and recommendations. By way of the conclusions, the story of your research is wrapped up , bringing it to its logical finale. Recommendations are the application of those conclusions. Writing conclusions and providing recommendations will draw on your ability to be a critical and, at the same time, creative thinker. Characteristics of worthy conclusions and recommendations are presented on pages 15; 269–270.

 88. How do I begin thinking about developing trustworthy conclusions?

When you were developing the study’s key findings, you engaged in critical thinking and reflection about all the potential deeper meanings behind these findings. As such, you were able to brainstorm a number of possible interpretations that explained your findings. In generating conclusions, you now need to go back to your findings and interpretations. A process to stimulate thinking about developing conclusions and making sure that your findings, interpretations, and conclusions are all aligned is presented on pages 270–271.

89. How do I write up my study’s conclusions?

As a general rule of thumb, you should provide at least one conclusion for each finding. However, the process is not altogether linear, and so it is possible that one conclusion can (but does not always) cut across more than one finding. It is important to bear in mind when thinking about and formulating each of your conclusions that they must be logically tied to one another . More about writing conclusions, as well as a tool for generating conclusions, is presented on pages 271–272.

90. How can I go about I developing actionable recommendations?

Recommendations follow your findings and conclusions. They are the application of those conclusions. A tool for generating the study’s recommendations is presented on pages 272–273.

91. How do I write up my recommendations?

You make recommendations based on your own experiences in conducting the research, as well as in any other professional capacity. Recommendations can have implications for policy and practice, as well as for further research. Further details pertaining to providing recommendations are presented on page 273.

92.     Will I have an opportunity to reflect on my research and findings?

Most certainly! As you near the end of your study, you may want to pause and reflect on the long qualitative journey you have undertaken. You may include this reflection in the last chapter, following your conclusions and recommendations. Suggestions about this piece of the dissertation are provided on pages 273–274.

93. Why is alignment such an important component to consider, and why should this be revisited as I near completion of the dissertation?  

You will have known throughout your research about the importance of alignment among the first three core critical elements: problem, purpose, and research questions. As you reach the final stages of writing your dissertation, it is crucial that you once again make certain that all the necessary elements that constitute your dissertation are aligned with one another. This will ensure that your study is tight and that you have taken an important step in ensuring methodological integrity ; this is extremely important for the defense when, among other things, the methodological integrity of your research is finely scrutinized. More about alignment is presented on pages 283–284.

 94. How do I craft my study’s title?

The title of your dissertation should catch the readers’ attention while at the same time properly informing them of the main focus of your study. Crafting an effective title is an iterative and ongoing exercise. A title has many uses. Most important, it should accurately reflect your work. More details about the title are provided on pages 284–285.

95. How do I prepare an Abstract?

Writing a good abstract requires that you explain what you did and what you found in simple, direct language. The abstract needs to be dense with information but also readable, well organized, concise and specific, focused, and coherent.  Abstracts can differ in terms of style and word count. It is suggested that you consult with your advisor, departmental regulations, and the relevant style manual regarding abstract requirements. More about the abstract is provided on pages 285–289.

96. What is the essential purpose of the dissertation defense?

The defense, in effect, moves your dissertation from the private domain into the arena of public discourse, providing you with some sense of closure. Actual procedures for conducting the meeting and the formalities involved are discussed on pages 302–303.

97. What is the process for selecting a defense committee?

Be aware that each university or college has a different system regarding dissertation committee structure and the process of preparing for that structure. Each institution has its own way of going about setting up the defense meeting, and it is recommended that you consult with your institution’s office of doctoral studies with regard to the correct procedures and protocol. Some general guidelines are provided on pages 300–301.

98. How can I best prepare myself for this milestone event, and what are some beneficial pre-defense strategies that I should know about?

Because this is the culminating aspect of a rigorous, traditional, and long-standing ritual, you are likely to approach the defense with some sense of anxiety. This is certainly understandable! Therefore, the more you can frame the defense as an opportunity to present your research publicly and the more you take a proactive position, the better the experience is likely to be. Guidelines toward this end are provided on pages 302–306.

99. Following the defense and all necessary revisions to my dissertation, what opportunities can I pursue regarding publishing my research?  

The dissertation process comes to a definitive end when the final document is submitted and the doctoral degree is awarded. At this juncture, you might consider looking beyond the dissertation and think of how you can share what you have researched with a broader audience than the academic community. Publishing your findings is a way to contribute to the ongoing knowledge base and work toward advancing your professional career. Details regarding publishing your research are provided on pages 308–309.

100. Following the defense and all necessary revisions to my dissertation, what opportunities can I pursue regarding presenting my research?

In addition to publications, completion of the dissertation provides you with  opportunities to present your study in other academic settings and research forums, such as graduate seminars and professional associations. Details regarding presenting your research are provided on page 310.

101. It is sometimes said that “the best dissertation is a DONE dissertation.”  However, how does one actually evaluate the quality of a qualitative dissertation?

I have no doubt that you will ask yourself whether there are key criteria or pointers that can help you determine the quality of your work as you navigate this long and intense journey. The short answer to this question is yes!  Once you have some idea of the core elements that are required for the various sections of your dissertation, an evaluation rubric is included for your convenience on pages 316–325 . Please be sure to use this rubric as a broad set of guidelines only in checking your work at different points along the way and in assessing or evaluating the quality of your work overall once completed. Hopefully this tool will be useful to you in determining where limitations may lie and where improvements can be made. 

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Nuffield Department of Primary Care Health Sciences, University of Oxford

Tips for a qualitative dissertation

Veronika Williams

Veronika Williams

17 October 2017

Tips for students

This blog is part of a series for Evidence-Based Health Care MSc students undertaking their dissertations.

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Undertaking an MSc dissertation in Evidence-Based Health Care (EBHC) may be your first hands-on experience of doing qualitative research. I chatted to Dr. Veronika Williams, an experienced qualitative researcher, and tutor on the EBHC programme, to find out her top tips for producing a high-quality qualitative EBHC thesis.

1) Make the switch from a quantitative to a qualitative mindset

It’s not just about replacing numbers with words. Doing qualitative research requires you to adopt a different way of seeing and interpreting the world around you. Veronika asks her students to reflect on positivist and interpretivist approaches: If you come from a scientific or medical background, positivism is often the unacknowledged status quo. Be open to considering there are alternative ways to generate and understand knowledge.

2) Reflect on your role

Quantitative research strives to produce “clean” data unbiased by the context in which it was generated.  With qualitative methods, this is neither possible nor desirable.  Students should reflect on how their background and personal views shape the way they collect and analyse their data. This will not only add to the transparency of your work but will also help you interpret your findings.

3)  Don’t forget the theory

Qualitative researchers use theories as a lens through which they understand the world around them. Veronika suggests that students consider the theoretical underpinning to their own research at the earliest stages. You can read an article about why theories are useful in qualitative research  here.

4) Think about depth rather than breadth

Qualitative research is all about developing a deep and insightful understanding of the phenomenon/ concept you are studying. Be realistic about what you can achieve given the time constraints of an MSc.  Veronika suggests that collecting and analysing a smaller dataset well is preferable to producing a superficial, rushed analysis of a larger dataset.

5) Blur the boundaries between data collection, analysis and writing up

Veronika strongly recommends keeping a research diary or using memos to jot down your ideas as your research progresses. Not only do these add to your audit trail, these entries will help contribute to your first draft and the process of moving towards theoretical thinking. Qualitative researchers move back and forward between their dataset and manuscript as their ideas develop. This enriches their understanding and allows emerging theories to be explored.

6) Move beyond the descriptive

When analysing interviews, for example, it can be tempting to think that having coded your transcripts you are nearly there. This is not the case!  You need to move beyond the descriptive codes to conceptual themes and theoretical thinking in order to produce a high-quality thesis.  Veronika warns against falling into the pitfall of thinking writing up is, “Two interviews said this whilst three interviewees said that”.

7) It’s not just about the average experience

When analysing your data, consider the outliers or negative cases, for example, those that found the intervention unacceptable.  Although in the minority, these respondents will often provide more meaningful insight into the phenomenon or concept you are trying to study.

8) Bounce ideas

Veronika recommends sharing your emerging ideas and findings with someone else, maybe with a different background or perspective. This isn’t about getting to the “right answer” rather it offers you the chance to refine your thinking.  Be sure, though, to fully acknowledge their contribution in your thesis.

9) Be selective

In can be a challenge to meet the dissertation word limit.  It won’t be possible to present all the themes generated by your dataset so focus! Use quotes from across your dataset that best encapsulate the themes you are presenting.  Display additional data in the appendix.  For example, Veronika suggests illustrating how you moved from your coding framework to your themes.

10) Don’t panic!

There will be a stage during analysis and write up when it seems undoable.  Unlike quantitative researchers who begin analysis with a clear plan, qualitative research is more of a journey. Everything will fall into place by the end.  Be sure, though, to allow yourself enough time to make sense of the rich data qualitative research generates.

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  • Knowledge Base

Methodology

  • What Is Qualitative Research? | Methods & Examples

What Is Qualitative Research? | Methods & Examples

Published on June 19, 2020 by Pritha Bhandari . Revised on June 22, 2023.

Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.

Qualitative research is the opposite of quantitative research , which involves collecting and analyzing numerical data for statistical analysis.

Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, history, etc.

  • How does social media shape body image in teenagers?
  • How do children and adults interpret healthy eating in the UK?
  • What factors influence employee retention in a large organization?
  • How is anxiety experienced around the world?
  • How can teachers integrate social issues into science curriculums?

Table of contents

Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, other interesting articles, frequently asked questions about qualitative research.

Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.

Common approaches include grounded theory, ethnography , action research , phenomenological research, and narrative research. They share some similarities, but emphasize different aims and perspectives.

Note that qualitative research is at risk for certain research biases including the Hawthorne effect , observer bias , recall bias , and social desirability bias . While not always totally avoidable, awareness of potential biases as you collect and analyze your data can prevent them from impacting your work too much.

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Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:

  • Observations: recording what you have seen, heard, or encountered in detailed field notes.
  • Interviews:  personally asking people questions in one-on-one conversations.
  • Focus groups: asking questions and generating discussion among a group of people.
  • Surveys : distributing questionnaires with open-ended questions.
  • Secondary research: collecting existing data in the form of texts, images, audio or video recordings, etc.
  • You take field notes with observations and reflect on your own experiences of the company culture.
  • You distribute open-ended surveys to employees across all the company’s offices by email to find out if the culture varies across locations.
  • You conduct in-depth interviews with employees in your office to learn about their experiences and perspectives in greater detail.

Qualitative researchers often consider themselves “instruments” in research because all observations, interpretations and analyses are filtered through their own personal lens.

For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analyzing the data.

Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.

Most types of qualitative data analysis share the same five steps:

  • Prepare and organize your data. This may mean transcribing interviews or typing up fieldnotes.
  • Review and explore your data. Examine the data for patterns or repeated ideas that emerge.
  • Develop a data coding system. Based on your initial ideas, establish a set of codes that you can apply to categorize your data.
  • Assign codes to the data. For example, in qualitative survey analysis, this may mean going through each participant’s responses and tagging them with codes in a spreadsheet. As you go through your data, you can create new codes to add to your system if necessary.
  • Identify recurring themes. Link codes together into cohesive, overarching themes.

There are several specific approaches to analyzing qualitative data. Although these methods share similar processes, they emphasize different concepts.

Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:

  • Flexibility

The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.

  • Natural settings

Data collection occurs in real-world contexts or in naturalistic ways.

  • Meaningful insights

Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.

  • Generation of new ideas

Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.

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Researchers must consider practical and theoretical limitations in analyzing and interpreting their data. Qualitative research suffers from:

  • Unreliability

The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.

  • Subjectivity

Due to the researcher’s primary role in analyzing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.

  • Limited generalizability

Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalizable conclusions because the data may be biased and unrepresentative of the wider population .

  • Labor-intensive

Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

  • Chi square goodness of fit test
  • Degrees of freedom
  • Null hypothesis
  • Discourse analysis
  • Control groups
  • Mixed methods research
  • Non-probability sampling
  • Quantitative research
  • Inclusion and exclusion criteria

Research bias

  • Rosenthal effect
  • Implicit bias
  • Cognitive bias
  • Selection bias
  • Negativity bias
  • Status quo bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

There are five common approaches to qualitative research :

  • Grounded theory involves collecting data in order to develop new theories.
  • Ethnography involves immersing yourself in a group or organization to understand its culture.
  • Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
  • Phenomenological research involves investigating phenomena through people’s lived experiences.
  • Action research links theory and practice in several cycles to drive innovative changes.

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

  • Prepare and organize your data.
  • Review and explore your data.
  • Develop a data coding system.
  • Assign codes to the data.
  • Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

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How To Write The Results/Findings Chapter

For qualitative studies (dissertations & theses).

By: Jenna Crossley (PhD Cand). Expert Reviewed By: Dr. Eunice Rautenbach | August 2021

So, you’ve collected and analysed your qualitative data, and it’s time to write up your results chapter – exciting! But where do you start? In this post, we’ll guide you through the qualitative results chapter (also called the findings chapter), step by step.  

Overview: Qualitative Results Chapter

  • What (exactly) the qualitative results chapter is
  • What to include in your results chapter
  • How to write up your results chapter
  • A few tips and tricks to help you along the way

What exactly is the results chapter?

The results chapter in a dissertation or thesis (or any formal academic research piece) is where you objectively and neutrally present the findings of your qualitative analysis (or analyses if you used multiple qualitative analysis methods ). This chapter can sometimes be combined with the discussion chapter (where you interpret the data and discuss its meaning), depending on your university’s preference.  We’ll treat the two chapters as separate, as that’s the most common approach.

In contrast to a quantitative results chapter that presents numbers and statistics, a qualitative results chapter presents data primarily in the form of words . But this doesn’t mean that a qualitative study can’t have quantitative elements – you could, for example, present the number of times a theme or topic pops up in your data, depending on the analysis method(s) you adopt.

Adding a quantitative element to your study can add some rigour, which strengthens your results by providing more evidence for your claims. This is particularly common when using qualitative content analysis. Keep in mind though that qualitative research aims to achieve depth, richness and identify nuances , so don’t get tunnel vision by focusing on the numbers. They’re just cream on top in a qualitative analysis.

So, to recap, the results chapter is where you objectively present the findings of your analysis, without interpreting them (you’ll save that for the discussion chapter). With that out the way, let’s take a look at what you should include in your results chapter.

Only present the results, don't interpret them

What should you include in the results chapter?

As we’ve mentioned, your qualitative results chapter should purely present and describe your results , not interpret them in relation to the existing literature or your research questions . Any speculations or discussion about the implications of your findings should be reserved for your discussion chapter.

In your results chapter, you’ll want to talk about your analysis findings and whether or not they support your hypotheses (if you have any). Naturally, the exact contents of your results chapter will depend on which qualitative analysis method (or methods) you use. For example, if you were to use thematic analysis, you’d detail the themes identified in your analysis, using extracts from the transcripts or text to support your claims.

While you do need to present your analysis findings in some detail, you should avoid dumping large amounts of raw data in this chapter. Instead, focus on presenting the key findings and using a handful of select quotes or text extracts to support each finding . The reams of data and analysis can be relegated to your appendices.

While it’s tempting to include every last detail you found in your qualitative analysis, it is important to make sure that you report only that which is relevant to your research aims, objectives and research questions .  Always keep these three components, as well as your hypotheses (if you have any) front of mind when writing the chapter and use them as a filter to decide what’s relevant and what’s not.

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How do I write the results chapter?

Now that we’ve covered the basics, it’s time to look at how to structure your chapter. Broadly speaking, the results chapter needs to contain three core components – the introduction, the body and the concluding summary. Let’s take a look at each of these.

Section 1: Introduction

The first step is to craft a brief introduction to the chapter. This intro is vital as it provides some context for your findings. In your introduction, you should begin by reiterating your problem statement and research questions and highlight the purpose of your research . Make sure that you spell this out for the reader so that the rest of your chapter is well contextualised.

The next step is to briefly outline the structure of your results chapter. In other words, explain what’s included in the chapter and what the reader can expect. In the results chapter, you want to tell a story that is coherent, flows logically, and is easy to follow , so make sure that you plan your structure out well and convey that structure (at a high level), so that your reader is well oriented.

The introduction section shouldn’t be lengthy. Two or three short paragraphs should be more than adequate. It is merely an introduction and overview, not a summary of the chapter.

Pro Tip – To help you structure your chapter, it can be useful to set up an initial draft with (sub)section headings so that you’re able to easily (re)arrange parts of your chapter. This will also help your reader to follow your results and give your chapter some coherence.  Be sure to use level-based heading styles (e.g. Heading 1, 2, 3 styles) to help the reader differentiate between levels visually. You can find these options in Word (example below).

Heading styles in the results chapter

Section 2: Body

Before we get started on what to include in the body of your chapter, it’s vital to remember that a results section should be completely objective and descriptive, not interpretive . So, be careful not to use words such as, “suggests” or “implies”, as these usually accompany some form of interpretation – that’s reserved for your discussion chapter.

The structure of your body section is very important , so make sure that you plan it out well. When planning out your qualitative results chapter, create sections and subsections so that you can maintain the flow of the story you’re trying to tell. Be sure to systematically and consistently describe each portion of results. Try to adopt a standardised structure for each portion so that you achieve a high level of consistency throughout the chapter.

For qualitative studies, results chapters tend to be structured according to themes , which makes it easier for readers to follow. However, keep in mind that not all results chapters have to be structured in this manner. For example, if you’re conducting a longitudinal study, you may want to structure your chapter chronologically. Similarly, you might structure this chapter based on your theoretical framework . The exact structure of your chapter will depend on the nature of your study , especially your research questions.

As you work through the body of your chapter, make sure that you use quotes to substantiate every one of your claims . You can present these quotes in italics to differentiate them from your own words. A general rule of thumb is to use at least two pieces of evidence per claim, and these should be linked directly to your data. Also, remember that you need to include all relevant results , not just the ones that support your assumptions or initial leanings.

In addition to including quotes, you can also link your claims to the data by using appendices , which you should reference throughout your text. When you reference, make sure that you include both the name/number of the appendix , as well as the line(s) from which you drew your data.

As referencing styles can vary greatly, be sure to look up the appendix referencing conventions of your university’s prescribed style (e.g. APA , Harvard, etc) and keep this consistent throughout your chapter.

Consistency is key

Section 3: Concluding summary

The concluding summary is very important because it summarises your key findings and lays the foundation for the discussion chapter . Keep in mind that some readers may skip directly to this section (from the introduction section), so make sure that it can be read and understood well in isolation.

In this section, you need to remind the reader of the key findings. That is, the results that directly relate to your research questions and that you will build upon in your discussion chapter. Remember, your reader has digested a lot of information in this chapter, so you need to use this section to remind them of the most important takeaways.

Importantly, the concluding summary should not present any new information and should only describe what you’ve already presented in your chapter. Keep it concise – you’re not summarising the whole chapter, just the essentials.

Tips and tricks for an A-grade results chapter

Now that you’ve got a clear picture of what the qualitative results chapter is all about, here are some quick tips and reminders to help you craft a high-quality chapter:

  • Your results chapter should be written in the past tense . You’ve done the work already, so you want to tell the reader what you found , not what you are currently finding .
  • Make sure that you review your work multiple times and check that every claim is adequately backed up by evidence . Aim for at least two examples per claim, and make use of an appendix to reference these.
  • When writing up your results, make sure that you stick to only what is relevant . Don’t waste time on data that are not relevant to your research objectives and research questions.
  • Use headings and subheadings to create an intuitive, easy to follow piece of writing. Make use of Microsoft Word’s “heading styles” and be sure to use them consistently.
  • When referring to numerical data, tables and figures can provide a useful visual aid. When using these, make sure that they can be read and understood independent of your body text (i.e. that they can stand-alone). To this end, use clear, concise labels for each of your tables or figures and make use of colours to code indicate differences or hierarchy.
  • Similarly, when you’re writing up your chapter, it can be useful to highlight topics and themes in different colours . This can help you to differentiate between your data if you get a bit overwhelmed and will also help you to ensure that your results flow logically and coherently.

If you have any questions, leave a comment below and we’ll do our best to help. If you’d like 1-on-1 help with your results chapter (or any chapter of your dissertation or thesis), check out our private dissertation coaching service here or book a free initial consultation to discuss how we can help you.

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20 Comments

David Person

This was extremely helpful. Thanks a lot guys

Aditi

Hi, thanks for the great research support platform created by the gradcoach team!

I wanted to ask- While “suggests” or “implies” are interpretive terms, what terms could we use for the results chapter? Could you share some examples of descriptive terms?

TcherEva

I think that instead of saying, ‘The data suggested, or The data implied,’ you can say, ‘The Data showed or revealed, or illustrated or outlined’…If interview data, you may say Jane Doe illuminated or elaborated, or Jane Doe described… or Jane Doe expressed or stated.

Llala Phoshoko

I found this article very useful. Thank you very much for the outstanding work you are doing.

Oliwia

What if i have 3 different interviewees answering the same interview questions? Should i then present the results in form of the table with the division on the 3 perspectives or rather give a results in form of the text and highlight who said what?

Rea

I think this tabular representation of results is a great idea. I am doing it too along with the text. Thanks

Nomonde Mteto

That was helpful was struggling to separate the discussion from the findings

Esther Peter.

this was very useful, Thank you.

tendayi

Very helpful, I am confident to write my results chapter now.

Sha

It is so helpful! It is a good job. Thank you very much!

Nabil

Very useful, well explained. Many thanks.

Agnes Ngatuni

Hello, I appreciate the way you provided a supportive comments about qualitative results presenting tips

Carol Ch

I loved this! It explains everything needed, and it has helped me better organize my thoughts. What words should I not use while writing my results section, other than subjective ones.

Hend

Thanks a lot, it is really helpful

Anna milanga

Thank you so much dear, i really appropriate your nice explanations about this.

Wid

Thank you so much for this! I was wondering if anyone could help with how to prproperly integrate quotations (Excerpts) from interviews in the finding chapter in a qualitative research. Please GradCoach, address this issue and provide examples.

nk

what if I’m not doing any interviews myself and all the information is coming from case studies that have already done the research.

FAITH NHARARA

Very helpful thank you.

Philip

This was very helpful as I was wondering how to structure this part of my dissertation, to include the quotes… Thanks for this explanation

Aleks

This is very helpful, thanks! I am required to write up my results chapters with the discussion in each of them – any tips and tricks for this strategy?

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What is a theoretical framework?

Developing a theoretical framework for your dissertation is one of the key elements of a qualitative research project. Through writing your literature review, you are likely to have identified either a problem that need ‘fixing’ or a gap that your research may begin to fill.

The theoretical framework is your toolbox . In the toolbox are your handy tools: a set of theories, concepts, ideas and hypotheses that you will use to build a solution to the research problem or gap you have identified.

The methodology is the instruction manual: the procedure and steps you have taken, using your chosen tools, to tackle the research problem.

Why do I need a theoretical framework?

Developing a theoretical framework shows that you have thought critically about the different ways to approach your topic, and that you have made a well-reasoned and evidenced decision about which approach will work best. theoretical frameworks are also necessary for solving complex problems or issues from the literature, showing that you have the skills to think creatively and improvise to answer your research questions. they also allow researchers to establish new theories and approaches, that future research may go on to develop., how do i create a theoretical framework for my dissertation.

First, select your tools. You are likely to need a variety of tools in qualitative research – different theories, models or concepts – to help you tackle different parts of your research question.  

An overview of what to include in a theoretical framework: theories, models, ideologies, concepts, assumptions and perspectives.

When deciding what tools would be best for the job of answering your research questions or problem, explore what existing research in your area has used. You may find that there is a ‘standard toolbox’ for qualitative research in your field that you can borrow from or apply to your own research.

You will need to justify why your chosen tools are best for the job of answering your research questions, at what stage they are most relevant, and how they relate to each other. Some theories or models will neatly fit together and appear in the toolboxes of other researchers. However, you may wish to incorporate a model or idea that is not typical for your research area – the ‘odd one out’ in your toolbox. If this is the case, make sure you justify and account for why it is useful to you, and look for ways that it can be used in partnership with the other tools you are using.

You should also be honest about limitations, or where you need to improvise (for example, if the ‘right’ tool or approach doesn’t exist in your area).

This video from the Skills Centre includes an overview and example of how you might create a theoretical framework for your dissertation:

How do I choose the 'right' approach?

When designing your framework and choosing what to include, it can often be difficult to know if you’ve chosen the ‘right’ approach for your research questions. One way to check this is to look for consistency between your objectives, the literature in your framework, and your overall ethos for the research. This means ensuring that the literature you have used not only contributes to answering your research objectives, but that you also use theories and models that are true to your beliefs as a researcher.

Reflecting on your values and your overall ambition for the project can be a helpful step in making these decisions, as it can help you to fully connect your methodology and methods to your research aims.

Should I reflect on my position as a researcher?

If you feel your position as a researcher has influenced your choice of methods or procedure in any way, the methodology is a good place to reflect on this.  Positionality  acknowledges that no researcher is entirely objective: we are all, to some extent, influenced by prior learning, experiences, knowledge, and personal biases. This is particularly true in qualitative research or practice-based research, where the student is acting as a researcher in their own workplace, where they are otherwise considered a practitioner/professional. It's also important to reflect on your positionality if you belong to the same community as your participants where this is the grounds for their involvement in the research (ie. you are a mature student interviewing other mature learners about their experences in higher education). 

The following questions can help you to reflect on your positionality and gauge whether this is an important section to include in your dissertation (for some people, this section isn’t necessary or relevant):

  • How might my personal history influence how I approach the topic?
  • How am I positioned in relation to this knowledge? Am I being influenced by prior learning or knowledge from outside of this course?
  • How does my gender/social class/ ethnicity/ culture influence my positioning in relation to this topic?
  • Do I share any attributes with my participants? Are we part of a s hared community? How might this have influenced our relationship and my role in interviews/observations?
  • Am I invested in the outcomes on a personal level? Who is this research for and who will feel the benefits?
One option for qualitative projects is to write an extended literature review. This type of project does not require you to collect any new data. Instead, you should focus on synthesising a broad range of literature to offer a new perspective on a research problem or question.  

The main difference between an extended literature review and a dissertation where primary data is collected, is in the presentation of the methodology, results and discussion sections. This is because extended literature reviews do not actively involve participants or primary data collection, so there is no need to outline a procedure for data collection (the methodology) or to present and interpret ‘data’ (in the form of interview transcripts, numerical data, observations etc.) You will have much more freedom to decide which sections of the dissertation should be combined, and whether new chapters or sections should be added.

Here is an overview of a common structure for an extended literature review:

A structure for the extended literature review, showing the results divided into multiple themed chapters.

Introduction

  • Provide background information and context to set the ‘backdrop’ for your project.
  • Explain the value and relevance of your research in this context. Outline what do you hope to contribute with your dissertation.
  • Clarify a specific area of focus.
  • Introduce your research aims (or problem) and objectives.

Literature review

You will need to write a short, overview literature review to introduce the main theories, concepts and key research areas that you will explore in your dissertation. This set of texts – which may be theoretical, research-based, practice-based or policies – form your theoretical framework. In other words, by bringing these texts together in the literature review, you are creating a lens that you can then apply to more focused examples or scenarios in your discussion chapters.

Methodology

As you will not be collecting primary data, your methodology will be quite different from a typical dissertation. You will need to set out the process and procedure you used to find and narrow down your literature. This is also known as a search strategy.

Including your search strategy

A search strategy explains how you have narrowed down your literature to identify key studies and areas of focus. This often takes the form of a search strategy table, included as an appendix at the end of the dissertation. If included, this section takes the place of the traditional 'methodology' section.

If you choose to include a search strategy table, you should also give an overview of your reading process in the main body of the dissertation.  Think of this as a chronology of the practical steps you took and your justification for doing so at each stage, such as:

  • Your key terms, alternatives and synonyms, and any terms that you chose to exclude.
  • Your choice and combination of databases;
  • Your inclusion/exclusion criteria, when they were applied and why. This includes filters such as language of publication, date, and country of origin;
  • You should also explain which terms you combined to form search phrases and your use of Boolean searching (AND, OR, NOT);
  • Your use of citation searching (selecting articles from the bibliography of a chosen journal article to further your search).
  • Your use of any search models, such as PICO and SPIDER to help shape your approach.
  • Search strategy template A simple template for recording your literature searching. This can be included as an appendix to show your search strategy.

The discussion section of an extended literature review is the most flexible in terms of structure. Think of this section as a series of short case studies or ‘windows’ on your research. In this section you will apply the theoretical framework you formed in the literature review – a combination of theories, models and ideas that explain your approach to the topic – to a series of different examples and scenarios. These are usually presented as separate discussion ‘chapters’ in the dissertation, in an order that you feel best fits your argument.

Think about an order for these discussion sections or chapters that helps to tell the story of your research. One common approach is to structure these sections by common themes or concepts that help to draw your sources together. You might also opt for a chronological structure if your dissertation aims to show change or development over time. Another option is to deliberately show where there is a lack of chronology or narrative across your case studies, by ordering them in a fragmentary order! You will be able to reflect upon the structure of these chapters elsewhere in the dissertation, explaining and defending your decision in the methodology and conclusion.

A summary of your key findings – what you have concluded from your research, and how far you have been able to successfully answer your research questions.

  • Recommendations – for improvements to your own study, for future research in the area, and for your field more widely.
  • Emphasise your contributions to knowledge and what you have achieved.

Alternative structure

Depending on your research aims, and whether you are working with a case-study type approach (where each section of the dissertation considers a different example or concept through the lens established in your literature review), you might opt for one of the following structures:

Splitting the literature review across different chapters:

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This structure allows you to pull apart the traditional literature review, introducing it little by little with each of your themed chapters. This approach works well for dissertations that attempt to show change or difference over time, as the relevant literature for that section or period can be introduced gradually to the reader.

Whichever structure you opt for, remember to explain and justify your approach. A marker will be interested in why you decided on your chosen structure, what it allows you to achieve/brings to the project and what alternatives you considered and rejected in the planning process. Here are some example sentence starters:

In qualitative studies, your results are often presented alongside the discussion, as it is difficult to include this data in a meaningful way without explanation and interpretation. In the dsicussion section, aim to structure your work thematically, moving through the key concepts or ideas that have emerged from your qualitative data. Use extracts from your data collection - interviews, focus groups, observations - to illustrate where these themes are most prominent, and refer back to the sources from your literature review to help draw conclusions. 

Here's an example of how your data could be presented in paragraph format in this section:

Example from  'Reporting and discussing your findings ', Monash University .

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If you have a deep interest in the methodological, theoretical, and ethical procedures and challenges inherent to social science research and evaluation, this is a program for you. Our students contribute to the methodological and theoretical development of qualitative research and program evaluation.

Our program prepares research methodologists to study and develop theories and methods for conducting empirical and conceptual social science research and evaluation in education and other social science fields. Specifically, this program develops scholars and methodologists who are prepared to contribute to the advancement of innovative theories and methods used in qualitative research and program evaluation.

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Our mission is to build your capacity to contribute methodological expertise to collaborative research efforts through real-world opportunities in which you develop and practice the skills needed in your area of emphasis. As a result of this experience, you will have a broad knowledge of research methods along with specific expertise in a focused methodology. You can use this knowledge to pursue careers as research methodologists and evaluation specialists in higher education, corporations, and non-profit agencies.

The Ph.D. degree is a 54-credit hour degree program in which students engage in advanced study of qualitative theories and methods, mixed methods, and approaches to evaluation.

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Please upload the following materials in your online application:

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Both the Graduate School and the academic department review application materials simultaneously. The Graduate School then reviews the department’s recommendation and makes the final determination on admission. As an applicant you will receive a formal letter regarding your admission from the Office of Graduate Admissions. You must be admitted to a program to be eligible to register for courses. Admission is granted for a specific semester and is validated by registration for that semester. Applicants must be admitted to the Graduate School before they are eligible to register. International applicants whose primary language is not English must submit scores from the TOEFL or IELTS tests in addition to a Certificate of Finances form. No application will be considered until all materials are received. To apply to the Ph.D. in Qualitative Research and Evaluation Methodologies, applicants must have completed a master’s degree. GRE scores are required for all applications.

Personal Statement

The program requires a personal statement, usually in the form of a letter of 2 to 3 pages, describing your background, work and research experience, interests in research and/or evaluation methodologies, and career aspirations. Specifically, you should be sure to address the following questions:

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In this program, you will take focused coursework with individual attention from faculty mentors .

Each semester, you will also take part in a seminar that brings together faculty in the qualitative research program to discuss topics of relevance to scholarship and teaching in qualitative research methodologies in higher education.

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What first attracted me to the Qualitative Research and Evaluation Ph.D. program was the balance it offers between the philosophy of science and the practical application of research and evaluation. The program’s faculty members are amazing at supporting students’ learning, and at pushing us to be creative, deep thinking, and daring as we explore methodologies. Nuria Jaumot-Pascual, Doctoral Student
My path through the Qualitative Research and Evaluation Ph.D. program had me exploring the depths of qualitative research rarely visited by researchers in the health sciences but that have been essential in my current position as Senior Research Associate at Evidera. Now I find myself often referencing qualitative research theory and history when selecting strategies for new studies or when arranging trainings across my organization. Moreover, the breadth of interests across students in the program provided unique perspectives that enriched my journey. Most of all though, I am impressed with how well the faculty helped guide me through the program, making theory, history, and applied work relevant for my own career goals. Sean Halpin, Former Doctoral Student
I really discovered the world of qualitative research with the Qualitative Research and Evaluation Methodologies Ph.D. program, and the instructors made me adore it. Their support for the students’ learning was so impeccable. They had genial ways to encourage students to think outside the box and to be creative from every point of view, especially when it comes to methodologies. Bidossessi Mariano Ghislain Dossou Kpanou, Former Doctoral Student

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Toward a framework for selecting indicators of measuring sustainability and circular economy in the agri-food sector: a systematic literature review

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  • Cecilia Silvestri   ORCID: orcid.org/0000-0003-2528-601X 1 ,
  • Luca Silvestri   ORCID: orcid.org/0000-0002-6754-899X 2 ,
  • Michela Piccarozzi   ORCID: orcid.org/0000-0001-9717-9462 1 &
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A Correction to this article was published on 24 March 2022

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The implementation of sustainability and circular economy (CE) models in agri-food production can promote resource efficiency, reduce environmental burdens, and ensure improved and socially responsible systems. In this context, indicators for the measurement of sustainability play a crucial role. Indicators can measure CE strategies aimed to preserve functions, products, components, materials, or embodied energy. Although there is broad literature describing sustainability and CE indicators, no study offers such a comprehensive framework of indicators for measuring sustainability and CE in the agri-food sector.

Starting from this central research gap, a systematic literature review has been developed to measure the sustainability in the agri-food sector and, based on these findings, to understand how indicators are used and for which specific purposes.

The analysis of the results allowed us to classify the sample of articles in three main clusters (“Assessment-LCA,” “Best practice,” and “Decision-making”) and has shown increasing attention to the three pillars of sustainability (triple bottom line). In this context, an integrated approach of indicators (environmental, social, and economic) offers the best solution to ensure an easier transition to sustainability.

Conclusions

The sample analysis facilitated the identification of new categories of impact that deserve attention, such as the cooperation among stakeholders in the supply chain and eco-innovation.

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qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the temporal distribution of the articles under analysis

qualitative research phd dissertation

Source: Authors’ elaborations. Notes: The graph shows the time distribution of articles from the three major journals

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the composition of the sample according to the three clusters identified by the analysis

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the distribution of articles over time by cluster

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the network visualization

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the overlay visualization

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the classification of articles by scientific field

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: Article classification based on their cluster to which they belong and scientific field

qualitative research phd dissertation

Source: Authors’ elaboration

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the distribution of items over time based on TBL

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the Pareto diagram highlighting the most used indicators in literature for measuring sustainability in the agri-food sector

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the distribution over time of articles divided into conceptual and empirical

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the classification of articles, divided into conceptual and empirical, in-depth analysis

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the geographical distribution of the authors

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the distribution of authors according to the continent from which they originate

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: The graph shows the time distribution of publication of authors according to the continent from which they originate

qualitative research phd dissertation

Source: Authors’ elaboration. Notes: Sustainability measurement indicators and impact categories of LCA, S-LCA, and LCC tools should be integrated in order to provide stakeholders with best practices as guidelines and tools to support both decision-making and measurement, according to the circular economy approach

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Change history, 24 march 2022.

A Correction to this paper has been published: https://doi.org/10.1007/s11367-022-02038-9

Acero AP, Rodriguez C, Ciroth A (2017) LCIA methods: impact assessment methods in life cycle assessment and their impact categories. Version 1.5.6. Green Delta 1–23

Accorsi R, Versari L, Manzini R (2015) Glass vs. plastic: Life cycle assessment of extra-virgin olive oil bottles across global supply chains. Sustain 7:2818–2840. https://doi.org/10.3390/su7032818

Adjei-Bamfo P, Maloreh-Nyamekye T, Ahenkan A (2019) The role of e-government in sustainable public procurement in developing countries: a systematic literature review. Resour Conserv Recycl 142:189–203. https://doi.org/10.1016/j.resconrec.2018.12.001

Article   Google Scholar  

Aivazidou E, Tsolakis N, Vlachos D, Iakovou E (2015) Water footprint management policies for agrifood supply chains: a critical taxonomy and a system dynamics modelling approach. Chem Eng Trans 43:115–120. https://doi.org/10.3303/CET1543020

Alhaddi H (2015) Triple bottom line and sustainability: a literature review. Bus Manag Stud 1:6–10

Allaoui H, Guo Y, Sarkis J (2019) Decision support for collaboration planning in sustainable supply chains. J Clean Prod 229:761–774. https://doi.org/10.1016/j.jclepro.2019.04.367

Alshqaqeeq F, Amin Esmaeili M, Overcash M, Twomey J (2020) Quantifying hospital services by carbon footprint: a systematic literature review of patient care alternatives. Resour Conserv Recycl 154:104560. https://doi.org/10.1016/j.resconrec.2019.104560

Anwar F, Chaudhry FN, Nazeer S et al (2016) Causes of ozone layer depletion and its effects on human: review. Atmos Clim Sci 06:129–134. https://doi.org/10.4236/acs.2016.61011

Aquilani B, Silvestri C, Ruggieri A (2016). A Systematic Literature Review on Total Quality Management Critical Success Factors and the Identification of New Avenues of Research. https://doi.org/10.1108/TQM-01-2016-0003

Aramyan L, Hoste R, Van Den Broek W et al (2011) Towards sustainable food production: a scenario study of the European pork sector. J Chain Netw Sci 11:177–189. https://doi.org/10.3920/JCNS2011.Qpork8

Arfini F, Antonioli F, Cozzi E et al (2019) Sustainability, innovation and rural development: the case of Parmigiano-Reggiano PDO. Sustain 11:1–17. https://doi.org/10.3390/su11184978

Assembly UG (2005) Resolution adopted by the general assembly. New York, NY

Avilés-Palacios C, Rodríguez-Olalla A (2021) The sustainability of waste management models in circular economies. Sustain 13:1–19. https://doi.org/10.3390/su13137105

Azevedo SG, Silva ME, Matias JCO, Dias GP (2018) The influence of collaboration initiatives on the sustainability of the cashew supply chain. Sustain 10:1–29. https://doi.org/10.3390/su10062075

Bajaj S, Garg R, Sethi M (2016) Total quality management: a critical literature review using Pareto analysis. Int J Product Perform Manag 67:128–154

Banasik A, Kanellopoulos A, Bloemhof-Ruwaard JM, Claassen GDH (2019) Accounting for uncertainty in eco-efficient agri-food supply chains: a case study for mushroom production planning. J Clean Prod 216:249–256. https://doi.org/10.1016/j.jclepro.2019.01.153

Barth H, Ulvenblad PO, Ulvenblad P (2017) Towards a conceptual framework of sustainable business model innovation in the agri-food sector: a systematic literature review. Sustain 9. https://doi.org/10.3390/su9091620

Bastas A, Liyanage K (2018) Sustainable supply chain quality management: a systematic review

Beckerman W (1992) Economic growth and the environment: whose growth? Whose environment? World Dev 20:481–496. https://doi.org/10.1016/0305-750X(92)90038-W

Belaud JP, Prioux N, Vialle C, Sablayrolles C (2019) Big data for agri-food 4.0: application to sustainability management for by-products supply chain. Comput Ind 111:41–50. https://doi.org/10.1016/j.compind.2019.06.006

Bele B, Norderhaug A, Sickel H (2018) Localized agri-food systems and biodiversity. Agric 8. https://doi.org/10.3390/agriculture8020022

Bilali H El, Calabrese G, Iannetta M et al (2020) Environmental sustainability of typical agro-food products: a scientifically sound and user friendly approach. New Medit 19:69–83. https://doi.org/10.30682/nm2002e

Blanc S, Massaglia S, Brun F et al (2019) Use of bio-based plastics in the fruit supply chain: an integrated approach to assess environmental, economic, and social sustainability. Sustain 11. https://doi.org/10.3390/su11092475

Bloemhof JM, van der Vorst JGAJ, Bastl M, Allaoui H (2015) Sustainability assessment of food chain logistics. Int J Logist Res Appl 18:101–117. https://doi.org/10.1080/13675567.2015.1015508

Bonisoli L, Galdeano-Gómez E, Piedra-Muñoz L (2018) Deconstructing criteria and assessment tools to build agri-sustainability indicators and support farmers’ decision-making process. J Clean Prod 182:1080–1094. https://doi.org/10.1016/j.jclepro.2018.02.055

Bonisoli L, Galdeano-Gómez E, Piedra-Muñoz L, Pérez-Mesa JC (2019) Benchmarking agri-food sustainability certifications: evidences from applying SAFA in the Ecuadorian banana agri-system. J Clean Prod 236. https://doi.org/10.1016/j.jclepro.2019.07.054

Bornmann L, Haunschild R, Hug SE (2018) Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis. Scientometrics 114:427–437. https://doi.org/10.1007/s11192-017-2591-8

Boulding KE (1966) The economics of the coming spaceship earth. New York, 1-17

Bracquené E, Dewulf W, Duflou JR (2020) Measuring the performance of more circular complex product supply chains. Resour Conserv Recycl 154:104608. https://doi.org/10.1016/j.resconrec.2019.104608

Burck J, Hagen U, Bals C et al (2021) Climate Change Performance Index

Calisto Friant M, Vermeulen WJV, Salomone R (2020) A typology of circular economy discourses: navigating the diverse visions of a contested paradigm. Resour Conserv Recycl 161:104917. https://doi.org/10.1016/j.resconrec.2020.104917

Campbell BM, Beare DJ, Bennett EM et al (2017) Agriculture production as a major driver of the earth system exceeding planetary boundaries. Ecol Soc 22. https://doi.org/10.5751/ES-09595-220408

Capitanio F, Coppola A, Pascucci S (2010) Product and process innovation in the Italian food industry. Agribusiness 26:503–518. https://doi.org/10.1002/agr.20239

Caputo P, Zagarella F, Cusenza MA et al (2020) Energy-environmental assessment of the UIA-OpenAgri case study as urban regeneration project through agriculture. Sci Total Environ 729:138819. https://doi.org/10.1016/j.scitotenv.2020.138819

Article   CAS   Google Scholar  

Chabowski BR, Mena JA, Gonzalez-Padron TL (2011) The structure of sustainability research in marketing, 1958–2008: a basis for future research opportunities. J Acad Mark Sci 39:55–70. https://doi.org/10.1007/s11747-010-0212-7

Chadegani AA, Salehi H, Yunus M et al (2017) A comparison between two main academic literature collections : Web of Science and Scopus databases. Asian Soc Sci 9:18–26. https://doi.org/10.5539/ass.v9n5p18

Chams N, Guesmi B, Gil JM (2020) Beyond scientific contribution: assessment of the societal impact of research and innovation to build a sustainable agri-food sector. J Environ Manage 264. https://doi.org/10.1016/j.jenvman.2020.110455

Chandrakumar C, McLaren SJ, Jayamaha NP, Ramilan T (2019) Absolute sustainability-based life cycle assessment (ASLCA): a benchmarking approach to operate agri-food systems within the 2°C global carbon budget. J Ind Ecol 23:906–917. https://doi.org/10.1111/jiec.12830

Chaparro-Africano AM (2019) Toward generating sustainability indicators for agroecological markets. Agroecol Sustain Food Syst 43:40–66. https://doi.org/10.1080/21683565.2019.1566192

Colicchia C, Strozzi F (2012) Supply chain risk management: a new methodology for a systematic literature review

Conca L, Manta F, Morrone D, Toma P (2021) The impact of direct environmental, social, and governance reporting: empirical evidence in European-listed companies in the agri-food sector. Bus Strateg Environ 30:1080–1093. https://doi.org/10.1002/bse.2672

Coppola A, Ianuario S, Romano S, Viccaro M (2020) Corporate social responsibility in agri-food firms: the relationship between CSR actions and firm’s performance. AIMS Environ Sci 7:542–558. https://doi.org/10.3934/environsci.2020034

Corona B, Shen L, Reike D et al (2019) Towards sustainable development through the circular economy—a review and critical assessment on current circularity metrics. Resour Conserv Recycl 151:104498. https://doi.org/10.1016/j.resconrec.2019.104498

Correia MS (2019) Sustainability: An overview of the triple bottom line and sustainability implementation. Int J Strateg Eng 2:29–38.  https://doi.org/10.4018/IJoSE.2019010103

Coteur I, Marchand F, Debruyne L, Lauwers L (2019) Structuring the myriad of sustainability assessments in agri-food systems: a case in Flanders. J Clean Prod 209:472–480. https://doi.org/10.1016/j.jclepro.2018.10.066

CREA (2020) L’agricoltura italiana conta 2019

Crenna E, Sala S, Polce C, Collina E (2017) Pollinators in life cycle assessment: towards a framework for impact assessment. J Clean Prod 140:525–536. https://doi.org/10.1016/j.jclepro.2016.02.058

D’Eusanio M, Serreli M, Zamagni A, Petti L (2018) Assessment of social dimension of a jar of honey: a methodological outline. J Clean Prod 199:503–517. https://doi.org/10.1016/j.jclepro.2018.07.157

Dania WAP, Xing K, Amer Y (2018) Collaboration behavioural factors for sustainable agri-food supply chains: a systematic review. J Clean Prod 186:851–864

De Pascale A, Arbolino R, Szopik-Depczyńska K et al (2021) A systematic review for measuring circular economy: the 61 indicators. J Clean Prod 281. https://doi.org/10.1016/j.jclepro.2020.124942

De Schoenmakere M, Gillabel J (2017) Circular by design: products in the circular economy

Del Borghi A, Gallo M, Strazza C, Del Borghi M (2014) An evaluation of environmental sustainability in the food industry through life cycle assessment: the case study of tomato products supply chain. J Clean Prod 78:121–130. https://doi.org/10.1016/j.jclepro.2014.04.083

Del Borghi A, Strazza C, Magrassi F et al (2018) Life cycle assessment for eco-design of product–package systems in the food industry—the case of legumes. Sustain Prod Consum 13:24–36. https://doi.org/10.1016/j.spc.2017.11.001

Denyer D, Tranfield D (2009) Producing a systematic review. In: Buchanan B (ed) The sage handbook of organization research methods. Sage Publications Ltd, Cornwall, pp 671–689

Google Scholar  

Dietz T, Grabs J, Chong AE (2019) Mainstreamed voluntary sustainability standards and their effectiveness: evidence from the Honduran coffee sector. Regul Gov. https://doi.org/10.1111/rego.12239

Dixon-Woods M (2011) Using framework-based synthesis for conducting reviews of qualitative studies. BMC Med 9:9–10. https://doi.org/10.1186/1741-7015-9-39

do Canto NR, Bossle MB, Marques L, Dutra M, (2020) Supply chain collaboration for sustainability: a qualitative investigation of food supply chains in Brazil. Manag Environ Qual an Int J. https://doi.org/10.1108/MEQ-12-2019-0275

dos Santos RR, Guarnieri P (2020) Social gains for artisanal agroindustrial producers induced by cooperation and collaboration in agri-food supply chain. Soc Responsib J. https://doi.org/10.1108/SRJ-09-2019-0323

Doukidis GI, Matopoulos A, Vlachopoulou M, Manthou V, Manos B (2007) A conceptual framework for supply chain collaboration: empirical evidence from the agri‐food industry. Supply Chain Manag an Int Journal 12:177–186. https://doi.org/10.1108/13598540710742491

Durach CF, Kembro J, Wieland A (2017) A new paradigm for systematic literature reviews in supply chain management. J Supply Chain Manag 53:67–85. https://doi.org/10.1111/jscm.12145

Durán-Sánchez A, Álvarez-García J, Río-Rama D, De la Cruz M (2018) Sustainable water resources management: a bibliometric overview. Water 10:1–19. https://doi.org/10.3390/w10091191

Duru M, Therond O (2015) Livestock system sustainability and resilience in intensive production zones: which form of ecological modernization? Reg Environ Chang 15:1651–1665. https://doi.org/10.1007/s10113-014-0722-9

Edison Fondazione (2019) Le eccellenze agricole italiane. I primati europei e mondiali dell’Italia nei prodotti vegetali. Milan (IT)

Ehrenfeld JR (2005) The roots of sustainability. MIT Sloan Manag Rev 46(2)46:23–25

Elia V, Gnoni MG, Tornese F (2017) Measuring circular economy strategies through index methods: a critical analysis. J Clean Prod 142:2741–2751. https://doi.org/10.1016/j.jclepro.2016.10.196

Elkington J (1997) Cannibals with forks : the triple bottom line of 21st century business. Capstone, Oxford

Esposito B, Sessa MR, Sica D, Malandrino O (2020) Towards circular economy in the agri-food sector. A systematic literature review. Sustain 12. https://doi.org/10.3390/SU12187401

European Commission (2018) Agri-food trade in 2018

European Commission (2019) Monitoring EU agri-food trade: development until September 2019

Eurostat (2018) Small and large farms in the EU - statistics from the farm structure survey

FAO (2011) Biodiversity for food and agriculture. Italy, Rome

FAO (2012) Energy-smart food at FAO: an overview. Italy, Rome

FAO (2014) Food wastage footprint: fool cost-accounting

FAO (2016) The state of food and agriculture climate change, agriculture and food security. Italy, Rome

FAO (2017) The future of food and agriculture: trends and challenges. Italy, Rome

FAO (2020) The state of food security and nutrition in the world. Transforming Food Systems for Affordable Healthy Diets. Rome, Italy

Fassio F, Tecco N (2019) Circular economy for food: a systemic interpretation of 40 case histories in the food system in their relationships with SDGs. Systems 7:43. https://doi.org/10.3390/systems7030043

Fathollahi A, Coupe SJ (2021) Life cycle assessment (LCA) and life cycle costing (LCC) of road drainage systems for sustainability evaluation: quantifying the contribution of different life cycle phases. Sci Total Environ 776:145937. https://doi.org/10.1016/j.scitotenv.2021.145937

Ferreira VJ, Arnal ÁJ, Royo P et al (2019) Energy and resource efficiency of electroporation-assisted extraction as an emerging technology towards a sustainable bio-economy in the agri-food sector. J Clean Prod 233:1123–1132. https://doi.org/10.1016/j.jclepro.2019.06.030

Fiksel J (2006) A framework for sustainable remediation. JOM 8:15–22. https://doi.org/10.1021/es202595w

Flick U (2014) An introduction to qualitative research

Franciosi C, Voisin A, Miranda S et al (2020) Measuring maintenance impacts on sustainability of manufacturing industries : from a systematic literature review to a framework proposal. J Clean Prod 260:1–19. https://doi.org/10.1016/j.jclepro.2020.121065

Gaitán-Cremaschi D, Meuwissen MPM, Oude AGJML (2017) Total factor productivity: a framework for measuring agri-food supply chain performance towards sustainability. Appl Econ Perspect Policy 39:259–285. https://doi.org/10.1093/aepp/ppw008

Galdeano-Gómez E, Zepeda-Zepeda JA, Piedra-Muñoz L, Vega-López LL (2017) Family farm’s features influencing socio-economic sustainability: an analysis of the agri-food sector in southeast Spain. New Medit 16:50–61

Gallopín G, Herrero LMJ, Rocuts A (2014) Conceptual frameworks and visual interpretations of sustainability. Int J Sustain Dev 17:298–326. https://doi.org/10.1504/IJSD.2014.064183

Gallopín GC (2003) Sostenibilidad y desarrollo sostenible: un enfoque sistémico. Cepal, LATIN AMERICA

Garnett T (2013) Food sustainability: problems, perspectives and solutions. Proc Nutr Soc 72:29–39. https://doi.org/10.1017/S0029665112002947

Garofalo P, D’Andrea L, Tomaiuolo M et al (2017) Environmental sustainability of agri-food supply chains in Italy: the case of the whole-peeled tomato production under life cycle assessment methodology. J Food Eng 200:1–12. https://doi.org/10.1016/j.jfoodeng.2016.12.007

Gava O, Bartolini F, Venturi F et al (2018) A reflection of the use of the life cycle assessment tool for agri-food sustainability. Sustain 11. https://doi.org/10.3390/su11010071

Gazzola P, Querci E (2017) The connection between the quality of life and sustainable ecological development. Eur Sci J 7881:1857–7431

Geissdoerfer M, Savaget P, Bocken N, Hultink EJ (2017) The circular economy – a new sustainability paradigm ? The circular economy – a new sustainability paradigm ? J Clean Prod 143:757–768. https://doi.org/10.1016/j.jclepro.2016.12.048

Georgescu-Roegen N (1971) The entropy low and the economic process. Harward University Press, Cambridge Mass

Book   Google Scholar  

Gerbens-Leenes PW, Moll HC, Schoot Uiterkamp AJM (2003) Design and development of a measuring method for environmental sustainability in food production systems. Ecol Econ 46:231–248. https://doi.org/10.1016/S0921-8009(03)00140-X

Gésan-Guiziou G, Alaphilippe A, Aubin J et al (2020) Diversity and potentiality of multi-criteria decision analysis methods for agri-food research. Agron Sustain Dev 40. https://doi.org/10.1007/s13593-020-00650-3

Ghisellini P, Cialani C, Ulgiati S (2016) A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. J Clean Prod 114:11–32. https://doi.org/10.1016/j.jclepro.2015.09.007

Godoy-Durán Á, Galdeano- Gómez E, Pérez-Mesa JC, Piedra-Muñoz L (2017) Assessing eco-efficiency and the determinants of horticultural family-farming in southeast Spain. J Environ Manage 204:594–604. https://doi.org/10.1016/j.jenvman.2017.09.037

Gold S, Kunz N, Reiner G (2017) Sustainable global agrifood supply chains: exploring the barriers. J Ind Ecol 21:249–260. https://doi.org/10.1111/jiec.12440

Goucher L, Bruce R, Cameron DD et al (2017) The environmental impact of fertilizer embodied in a wheat-to-bread supply chain. Nat Plants 3:1–5. https://doi.org/10.1038/nplants.2017.12

Green A, Nemecek T, Chaudhary A, Mathys A (2020) Assessing nutritional, health, and environmental sustainability dimensions of agri-food production. Glob Food Sec 26:100406. https://doi.org/10.1016/j.gfs.2020.100406

Guinée JB, Heijungs R, Huppes G et al (2011) Life cycle assessment: past, present, and future †. Environ Sci Technol 45:90–96. https://doi.org/10.1021/es101316v

Guiomar N, Godinho S, Pinto-Correia T et al (2018) Typology and distribution of small farms in Europe: towards a better picture. Land Use Policy 75:784–798. https://doi.org/10.1016/j.landusepol.2018.04.012

Gunasekaran A, Patel C, McGaughey RE (2004) A framework for supply chain performance measurement. Int J Prod Econ 87:333–347. https://doi.org/10.1016/j.ijpe.2003.08.003

Gunasekaran A, Patel C, Tirtiroglu E (2001) Performance measures and metrics in a supply chain environment. Int J Oper Prod Manag 21:71–87. https://doi.org/10.1108/01443570110358468

Hamam M, Chinnici G, Di Vita G et al (2021) Circular economy models in agro-food systems: a review. Sustain 13

Harun SN, Hanafiah MM, Aziz NIHA (2021) An LCA-based environmental performance of rice production for developing a sustainable agri-food system in Malaysia. Environ Manage 67:146–161. https://doi.org/10.1007/s00267-020-01365-7

Harvey M, Pilgrim S (2011) The new competition for land: food, energy, and climate change. Food Policy 36:S40–S51. https://doi.org/10.1016/j.foodpol.2010.11.009

Hawkes C, Ruel MT (2006) Understanding the links between agriculture and health. DC: International Food Policy Research Institute. Washington, USA

Hellweg S, Milà i Canals L (2014) Emerging approaches, challenges and opportunities in life cycle assessment. Science (80)344:1109LP–1113. https://doi.org/10.1126/science.1248361

Higgins V, Dibden J, Cocklin C (2015) Private agri-food governance and greenhouse gas abatement: constructing a corporate carbon economy. Geoforum 66:75–84. https://doi.org/10.1016/j.geoforum.2015.09.012

Hill T (1995) Manufacturing strategy: text and cases., Macmillan

Hjeresen DD, Gonzales R (2020) Green chemistry promote sustainable agriculture?The rewards are higher yields and less environmental contamination. Environemental Sci Techonology 103–107

Horne R, Grant T, Verghese K (2009) Life cycle assessment: principles, practice, and prospects. Csiro Publishing, Collingwood, Australia

Horton P, Koh L, Guang VS (2016) An integrated theoretical framework to enhance resource efficiency, sustainability and human health in agri-food systems. J Clean Prod 120:164–169. https://doi.org/10.1016/j.jclepro.2015.08.092

Hospido A, Davis J, Berlin J, Sonesson U (2010) A review of methodological issues affecting LCA of novel food products. Int J Life Cycle Assess 15:44–52. https://doi.org/10.1007/s11367-009-0130-4

Huffman T, Liu J, Green M et al (2015) Improving and evaluating the soil cover indicator for agricultural land in Canada. Ecol Indic 48:272–281. https://doi.org/10.1016/j.ecolind.2014.07.008

Ilbery B, Maye D (2005) Food supply chains and sustainability: evidence from specialist food producers in the Scottish/English borders. Land Use Policy 22:331–344. https://doi.org/10.1016/j.landusepol.2004.06.002

Ingrao C, Faccilongo N, Valenti F et al (2019) Tomato puree in the Mediterranean region: an environmental life cycle assessment, based upon data surveyed at the supply chain level. J Clean Prod 233:292–313. https://doi.org/10.1016/j.jclepro.2019.06.056

Iocola I, Angevin F, Bockstaller C et al (2020) An actor-oriented multi-criteria assessment framework to support a transition towards sustainable agricultural systems based on crop diversification. Sustain 12. https://doi.org/10.3390/su12135434

Irabien A, Darton RC (2016) Energy–water–food nexus in the Spanish greenhouse tomato production. Clean Technol Environ Policy 18:1307–1316. https://doi.org/10.1007/s10098-015-1076-9

ISO 14040:2006 (2006) Environmental management — life cycle assessment — principles and framework

ISO 14044:2006 (2006) Environmental management — life cycle assessment — requirements and guidelines

ISO 15392:2008 (2008) Sustainability in building construction–general principles

Istat (2019) Andamento dell’economia agricola

Jaakkola E (2020) Designing conceptual articles : four approaches. AMS Rev 1–9. https://doi.org/10.1007/s13162-020-00161-0

Jin R, Yuan H, Chen Q (2019) Science mapping approach to assisting the review of construction and demolition waste management research published between 2009 and 2018. Resour Conserv Recycl 140:175–188. https://doi.org/10.1016/j.resconrec.2018.09.029

Johnston P, Everard M, Santillo D, Robèrt KH (2007) Reclaiming the definition of sustainability. Environ Sci Pollut Res Int 14:60–66. https://doi.org/10.1065/espr2007.01.375

Jorgensen SE, Burkhard B, Müller F (2013) Twenty volumes of ecological indicators-an accounting short review. Ecol Indic 28:4–9. https://doi.org/10.1016/j.ecolind.2012.12.018

Joshi S, Sharma M, Kler R (2020) Modeling circular economy dimensions in agri-tourism clusters: sustainable performance and future research directions. Int J Math Eng Manag Sci 5:1046–1061. https://doi.org/10.33889/IJMEMS.2020.5.6.080

Kamilaris A, Gao F, Prenafeta-Boldu FX, Ali MI (2017) Agri-IoT: a semantic framework for Internet of Things-enabled smart farming applications. In: 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016. pp 442–447

Karuppusami G, Gandhinathan R (2006) Pareto analysis of critical success factors of total quality management: a literature review and analysis. TQM Mag 18:372–385. https://doi.org/10.1108/09544780610671048

Kates RW, Parris TM, Leiserowitz AA (2005) What is sustainable development? Goals, indicators, values, and practice. Environ Sci Policy Sustain Dev 47:8–21. https://doi.org/10.1080/00139157.2005.10524444

Khounani Z, Hosseinzadeh-Bandbafha H, Moustakas K et al (2021) Environmental life cycle assessment of different biorefinery platforms valorizing olive wastes to biofuel, phosphate salts, natural antioxidant, and an oxygenated fuel additive (triacetin). J Clean Prod 278:123916. https://doi.org/10.1016/j.jclepro.2020.123916

Kitchenham B, Charters S (2007) Guidelines for performing systematic literature reviews in software engineering version 2.3. Engineering 45. https://doi.org/10.1145/1134285.1134500

Korhonen J, Nuur C, Feldmann A, Birkie SE (2018) Circular economy as an essentially contested concept. J Clean Prod 175:544–552. https://doi.org/10.1016/j.jclepro.2017.12.111

Kuisma M, Kahiluoto H (2017) Biotic resource loss beyond food waste: agriculture leaks worst. Resour Conserv Recycl 124:129–140. https://doi.org/10.1016/j.resconrec.2017.04.008

Laso J, Hoehn D, Margallo M et al (2018) Assessing energy and environmental efficiency of the Spanish agri-food system using the LCA/DEA methodology. Energies 11. https://doi.org/10.3390/en11123395

Lee KM (2007) So What is the “triple bottom line”? Int J Divers Organ Communities Nations Annu Rev 6:67–72. https://doi.org/10.18848/1447-9532/cgp/v06i06/39283

Lehmann RJ, Hermansen JE, Fritz M et al (2011) Information services for European pork chains - closing gaps in information infrastructures. Comput Electron Agric 79:125–136. https://doi.org/10.1016/j.compag.2011.09.002

León-Bravo V, Caniato F, Caridi M, Johnsen T (2017) Collaboration for sustainability in the food supply chain: a multi-stage study in Italy. Sustainability 9:1253

Lepage A (2009) The quality of life as attribute of sustainability. TQM J 21:105–115. https://doi.org/10.1108/17542730910938119

Li CZ, Zhao Y, Xiao B et al (2020) Research trend of the application of information technologies in construction and demolition waste management. J Clean Prod 263. https://doi.org/10.1016/j.jclepro.2020.121458

Lo Giudice A, Mbohwa C, Clasadonte MT, Ingrao C (2014) Life cycle assessment interpretation and improvement of the Sicilian artichokes production. Int J Environ Res 8:305–316. https://doi.org/10.22059/ijer.2014.721

Lueddeckens S, Saling P, Guenther E (2020) Temporal issues in life cycle assessment—a systematic review. Int J Life Cycle Assess 25:1385–1401. https://doi.org/10.1007/s11367-020-01757-1

Luo J, Ji C, Qiu C, Jia F (2018) Agri-food supply chain management: bibliometric and content analyses. Sustain 10. https://doi.org/10.3390/su10051573

Lynch J, Donnellan T, Finn JA et al (2019) Potential development of Irish agricultural sustainability indicators for current and future policy evaluation needs. J Environ Manage 230:434–445. https://doi.org/10.1016/j.jenvman.2018.09.070

MacArthur E (2013) Towards the circular economy. J Ind Ecol 2:23–44

MacArthur E (2017) Delivering the circular economy a toolkit for policymakers, The Ellen MacArthur Foundation

MacInnis DJ (2011) A framework for conceptual. J Mark 75:136–154. https://doi.org/10.1509/jmkg.75.4.136

Mangla SK, Luthra S, Rich N et al (2018) Enablers to implement sustainable initiatives in agri-food supply chains. Int J Prod Econ 203:379–393. https://doi.org/10.1016/j.ijpe.2018.07.012

Marotta G, Nazzaro C, Stanco M (2017) How the social responsibility creates value: models of innovation in Italian pasta industry. Int J Glob Small Bus 9:144–167. https://doi.org/10.1504/IJGSB.2017.088923

Martucci O, Arcese G, Montauti C, Acampora A (2019) Social aspects in the wine sector: comparison between social life cycle assessment and VIVA sustainable wine project indicators. Resources 8. https://doi.org/10.3390/resources8020069

Mayring P (2004) Forum : Qualitative social research Sozialforschung 2. History of content analysis. A Companion to Qual Res 1:159–176

McKelvey B (2002) Managing coevolutionary dynamics. In: 18th EGOS Conference. Barcelona, Spain, pp 1–21

McMichael AJ, Butler CD, Folke C (2003) New visions for addressing sustainability. Science (80- ) 302:1191–1920

Mehmood A, Ahmed S, Viza E et al (2021) Drivers and barriers towards circular economy in agri-food supply chain: a review. Bus Strateg Dev 1–17. https://doi.org/10.1002/bsd2.171

Mella P, Gazzola P (2011) Sustainability and quality of life: the development model. In: Kapounek S (ed) Enterprise and competitive environment. Mendel University: Brno, Czechia. 542–551

Merli R, Preziosi M, Acampora A (2018) How do scholars approach the circular economy ? A systematic literature review. J Clean Prod 178:703–722. https://doi.org/10.1016/j.jclepro.2017.12.112

Merli R, Preziosi M, Acampora A et al (2020) Recycled fibers in reinforced concrete: a systematic literature review. J Clean Prod 248:119207. https://doi.org/10.1016/j.jclepro.2019.119207

Miglietta PP, Morrone D (2018) Managing water sustainability: virtual water flows and economic water productivity assessment of the wine trade between Italy and the Balkans. Sustain 10. https://doi.org/10.3390/su10020543

Mitchell MGE, Chan KMA, Newlands NK, Ramankutty N (2020) Spatial correlations don’t predict changes in agricultural ecosystem services: a Canada-wide case study. Front Sustain Food Syst 4:1–17. https://doi.org/10.3389/fsufs.2020.539892

Moraga G, Huysveld S, Mathieux F et al (2019) Circular economy indicators: what do they measure?. Resour Conserv Recycl 146:452–461. https://doi.org/10.1016/j.resconrec.2019.03.045

Morrissey JE, Dunphy NP (2015) Towards sustainable agri-food systems: the role of integrated sustainability and value assessment across the supply-chain. Int J Soc Ecol Sustain Dev 6:41–58. https://doi.org/10.4018/IJSESD.2015070104

Moser G (2009) Quality of life and sustainability: toward person-environment congruity. J Environ Psychol 29:351–357. https://doi.org/10.1016/j.jenvp.2009.02.002

Muijs D (2010) Doing quantitative research in education with SPSS. London

Muller MF, Esmanioto F, Huber N, Loures ER (2019) A systematic literature review of interoperability in the green Building Information Modeling lifecycle. J Clean Prod 223:397–412. https://doi.org/10.1016/j.jclepro.2019.03.114

Muradin M, Joachimiak-Lechman K, Foltynowicz Z (2018) Evaluation of eco-efficiency of two alternative agricultural biogas plants. Appl Sci 8. https://doi.org/10.3390/app8112083

Naseer MA, ur R, Ashfaq M, Hassan S, et al (2019) Critical issues at the upstream level in sustainable supply chain management of agri-food industries: evidence from Pakistan’s citrus industry. Sustain 11:1–19. https://doi.org/10.3390/su11051326

Nattassha R, Handayati Y, Simatupang TM, Siallagan M (2020) Understanding circular economy implementation in the agri-food supply chain: the case of an Indonesian organic fertiliser producer. Agric Food Secur 9:1–16. https://doi.org/10.1186/s40066-020-00264-8

Nazari-Sharabian M, Ahmad S, Karakouzian M (2018) Climate change and eutrophication: a short review. Eng Technol Appl Sci Res 8:3668–3672. https://doi.org/10.5281/zenodo.2532694

Nazir N (2017) Understanding life cycle thinking and its practical application to agri-food system. Int J Adv Sci Eng Inf Technol 7:1861–1870. https://doi.org/10.18517/ijaseit.7.5.3578

Negra C, Remans R, Attwood S et al (2020) Sustainable agri-food investments require multi-sector co-development of decision tools. Ecol Indic 110:105851. https://doi.org/10.1016/j.ecolind.2019.105851

Newsham KK, Robinson SA (2009) Responses of plants in polar regions to UVB exposure: a meta-analysis. Glob Chang Biol 15:2574–2589. https://doi.org/10.1111/j.1365-2486.2009.01944.x

Niemeijer D, de Groot RS (2008) A conceptual framework for selecting environmental indicator sets. Ecol Indic 8:14–25. https://doi.org/10.1016/j.ecolind.2006.11.012

Niero M, Kalbar PP (2019) Coupling material circularity indicators and life cycle based indicators: a proposal to advance the assessment of circular economy strategies at the product level. Resour Conserv Recycl 140:305–312. https://doi.org/10.1016/j.resconrec.2018.10.002

Nikolaou IE, Tsagarakis KP (2021) An introduction to circular economy and sustainability: some existing lessons and future directions. Sustain Prod Consum 28:600–609. https://doi.org/10.1016/j.spc.2021.06.017

Notarnicola B, Hayashi K, Curran MA, Huisingh D (2012) Progress in working towards a more sustainable agri-food industry. J Clean Prod 28:1–8. https://doi.org/10.1016/j.jclepro.2012.02.007

Notarnicola B, Tassielli G, Renzulli PA, Monforti F (2017) Energy flows and greenhouses gases of EU (European Union) national breads using an LCA (life cycle assessment) approach. J Clean Prod 140:455–469. https://doi.org/10.1016/j.jclepro.2016.05.150

Opferkuch K, Caeiro S, Salomone R, Ramos TB (2021) Circular economy in corporate sustainability reporting: a review of organisational approaches. Bus Strateg Environ 1–22. https://doi.org/10.1002/bse.2854

Padilla-Rivera A, do Carmo BBT, Arcese G, Merveille N, (2021) Social circular economy indicators: selection through fuzzy delphi method. Sustain Prod Consum 26:101–110. https://doi.org/10.1016/j.spc.2020.09.015

Pagotto M, Halog A (2016) Towards a circular economy in Australian agri-food industry: an application of input-output oriented approaches for analyzing resource efficiency and competitiveness potential. J Ind Ecol 20:1176–1186. https://doi.org/10.1111/jiec.12373

Parent G, Lavallée S (2011) LCA potentials and limits within a sustainable agri-food statutory framework. Global food insecurity. Springer, Netherlands, Dordrecht, pp 161–171

Chapter   Google Scholar  

Pattey E, Qiu G (2012) Trends in primary particulate matter emissions from Canadian agriculture. J Air Waste Manag Assoc 62:737–747. https://doi.org/10.1080/10962247.2012.672058

Pauliuk S (2018) Critical appraisal of the circular economy standard BS 8001:2017 and a dashboard of quantitative system indicators for its implementation in organizations. Resour Conserv Recycl 129:81–92. https://doi.org/10.1016/j.resconrec.2017.10.019

Peano C, Migliorini P, Sottile F (2014) A methodology for the sustainability assessment of agri-food systems: an application to the slow food presidia project. Ecol Soc 19. https://doi.org/10.5751/ES-06972-190424

Peano C, Tecco N, Dansero E et al (2015) Evaluating the sustainability in complex agri-food systems: the SAEMETH framework. Sustain 7:6721–6741. https://doi.org/10.3390/su7066721

Pearce DW, Turner RK (1990) Economics of natural resources and the environment. Harvester Wheatsheaf, Hemel Hempstead, Herts

Pelletier N (2018) Social sustainability assessment of Canadian egg production facilities: methods, analysis, and recommendations. Sustain 10:1–17. https://doi.org/10.3390/su10051601

Peña C, Civit B, Gallego-Schmid A et al (2021) Using life cycle assessment to achieve a circular economy. Int J Life Cycle Assess 26:215–220. https://doi.org/10.1007/s11367-020-01856-z

Perez Neira D (2016) Energy sustainability of Ecuadorian cacao export and its contribution to climate change. A case study through product life cycle assessment. J Clean Prod 112:2560–2568. https://doi.org/10.1016/j.jclepro.2015.11.003

Pérez-Neira D, Grollmus-Venegas A (2018) Life-cycle energy assessment and carbon footprint of peri-urban horticulture. A comparative case study of local food systems in Spain. Landsc Urban Plan 172:60–68. https://doi.org/10.1016/j.landurbplan.2018.01.001

Pérez-Pons ME, Plaza-Hernández M, Alonso RS et al (2021) Increasing profitability and monitoring environmental performance: a case study in the agri-food industry through an edge-iot platform. Sustain 13:1–16. https://doi.org/10.3390/su13010283

Petti L, Serreli M, Di Cesare S (2018) Systematic literature review in social life cycle assessment. Int J Life Cycle Assess 23:422–431. https://doi.org/10.1007/s11367-016-1135-4

Pieroni MPP, McAloone TC, Pigosso DCA (2019) Business model innovation for circular economy and sustainability: a review of approaches. J Clean Prod 215:198–216. https://doi.org/10.1016/j.jclepro.2019.01.036

Polit DF, Beck CT (2004) Nursing research: principles and methods. Lippincott Williams & Wilkins, Philadelphia, PA

Porkka M, Gerten D, Schaphoff S et al (2016) Causes and trends of water scarcity in food production. Environ Res Lett 11:015001. https://doi.org/10.1088/1748-9326/11/1/015001

Prajapati H, Kant R, Shankar R (2019) Bequeath life to death: state-of-art review on reverse logistics. J Clean Prod 211:503–520. https://doi.org/10.1016/j.jclepro.2018.11.187

Priyadarshini P, Abhilash PC (2020) Policy recommendations for enabling transition towards sustainable agriculture in India. Land Use Policy 96:104718. https://doi.org/10.1016/j.landusepol.2020.104718

Pronti A, Coccia M (2020) Multicriteria analysis of the sustainability performance between agroecological and conventional coffee farms in the East Region of Minas Gerais (Brazil). Renew Agric Food Syst. https://doi.org/10.1017/S1742170520000332

Rabadán A, González-Moreno A, Sáez-Martínez FJ (2019) Improving firms’ performance and sustainability: the case of eco-innovation in the agri-food industry. Sustain 11. https://doi.org/10.3390/su11205590

Raut RD, Luthra S, Narkhede BE et al (2019) Examining the performance oriented indicators for implementing green management practices in the Indian agro sector. J Clean Prod 215:926–943. https://doi.org/10.1016/j.jclepro.2019.01.139

Recanati F, Marveggio D, Dotelli G (2018) From beans to bar: a life cycle assessment towards sustainable chocolate supply chain. Sci Total Environ 613–614:1013–1023. https://doi.org/10.1016/j.scitotenv.2017.09.187

Redclift M (2005) Sustainable development (1987–2005): an oxymoron comes of age. Sustain Dev 13:212–227. https://doi.org/10.1002/sd.281

Rezaei M, Soheilifard F, Keshvari A (2021) Impact of agrochemical emission models on the environmental assessment of paddy rice production using life cycle assessment approach. Energy Sources. Part A Recover Util Environ Eff 1–16

Rigamonti L, Mancini E (2021) Life cycle assessment and circularity indicators. Int J Life Cycle Assess. https://doi.org/10.1007/s11367-021-01966-2

Risku-Norja H, Mäenpää I (2007) MFA model to assess economic and environmental consequences of food production and consumption. Ecol Econ 60:700–711. https://doi.org/10.1016/j.ecolecon.2006.05.001

Ritzén S, Sandström GÖ (2017) Barriers to the circular economy – integration of perspectives and domains. Procedia CIRP 64:7–12. https://doi.org/10.1016/j.procir.2017.03.005

Rockström J, Steffen W, Noone K et al (2009) A safe operating space for humanity. Nature 461:472–475. https://doi.org/10.1038/461472a

Roos Lindgreen E, Mondello G, Salomone R et al (2021) Exploring the effectiveness of grey literature indicators and life cycle assessment in assessing circular economy at the micro level: a comparative analysis. Int J Life Cycle Assess. https://doi.org/10.1007/s11367-021-01972-4

Roselli L, Casieri A, De Gennaro BC et al (2020) Environmental and economic sustainability of table grape production in Italy. Sustain 12.  https://doi.org/10.3390/su12093670

Ross RB, Pandey V, Ross KL (2015) Sustainability and strategy in U.S. agri-food firms: an assessment of current practices. Int Food Agribus Manag Rev 18:17–48

Royo P, Ferreira VJ, López-Sabirón AM, Ferreira G. (2016) Hybrid diagnosis to characterise the energy and environmental enhancement of photovoltaic modules using smart materials. Energy 101:174–189. https://doi.org/10.1016/j.energy.2016.01.101

Ruggerio CA (2021) Sustainability and sustainable development: a review of principles and definitions. Sci Total Environ 786:147481. https://doi.org/10.1016/j.scitotenv.2021.147481

Ruiz-Almeida A, Rivera-Ferre MG (2019) Internationally-based indicators to measure agri-food systems sustainability using food sovereignty as a conceptual framework. Food Secur 11:1321–1337. https://doi.org/10.1007/s12571-019-00964-5

Ryan M, Hennessy T, Buckley C et al (2016) Developing farm-level sustainability indicators for Ireland using the Teagasc National Farm Survey. Irish J Agric Food Res 55:112–125. https://doi.org/10.1515/ijafr-2016-0011

Saade MRM, Yahia A, Amor B (2020) How has LCA been applied to 3D printing ? A systematic literature review and recommendations for future studies. J Clean Prod 244:118803. https://doi.org/10.1016/j.jclepro.2019.118803

Saitone TL, Sexton RJ (2017) Agri-food supply chain: evolution and performance with conflicting consumer and societal demands. Eur Rev Agric Econ 44:634–657. https://doi.org/10.1093/erae/jbx003

Salim N, Ab Rahman MN, Abd Wahab D (2019) A systematic literature review of internal capabilities for enhancing eco-innovation performance of manufacturing firms. J Clean Prod 209:1445–1460. https://doi.org/10.1016/j.jclepro.2018.11.105

Salimi N (2021) Circular economy in agri-food systems BT - strategic decision making for sustainable management of industrial networks. In: International S (ed) Rezaei J. Publishing, Cham, pp 57–70

Salomone R, Ioppolo G (2012) Environmental impacts of olive oil production: a life cycle assessment case study in the province of Messina (Sicily). J Clean Prod 28:88–100. https://doi.org/10.1016/j.jclepro.2011.10.004

Sánchez AD, Río DMDLC, García JÁ (2017) Bibliometric analysis of publications on wine tourism in the databases Scopus and WoS. Eur Res Manag Bus Econ 23:8–15. https://doi.org/10.1016/j.iedeen.2016.02.001

Saputri VHL, Sutopo W, Hisjam M, Ma’aram A (2019) Sustainable agri-food supply chain performance measurement model for GMO and non-GMO using data envelopment analysis method. Appl Sci 9. https://doi.org/10.3390/app9061199

Sassanelli C, Rosa P, Rocca R, Terzi S (2019) Circular economy performance assessment methods : a systematic literature review. J Clean Prod 229:440–453. https://doi.org/10.1016/j.jclepro.2019.05.019

Schiefer S, Gonzalez C, Flanigan S (2015) More than just a factor in transition processes? The role of collaboration in agriculture. In: Sutherland LA, Darnhofer I, Wilson GA, Zagata L (eds) Transition pathways towards sustainability in agriculture: case studies from Europe, CPI Group. Croydon, UK, pp. 83

Seuring S, Muller M (2008) From a literature review to a conceptual framework for sustainable supply chain management. J Clean Prod 16:1699–1710. https://doi.org/10.1016/j.jclepro.2008.04.020

Silvestri C, Silvestri L, Forcina A, et al (2021) Green chemistry contribution towards more equitable global sustainability and greater circular economy: A systematic literature review. J Clean Prod 294. https://doi.org/10.1016/j.jclepro.2021.126137

Smetana S, Schmitt E, Mathys A (2019) Sustainable use of Hermetia illucens insect biomass for feed and food: attributional and consequential life cycle assessment. Resour Conserv Recycl 144:285–296. https://doi.org/10.1016/j.resconrec.2019.01.042

Sonesson U, Berlin J, Ziegler F (2010) Environmental assessment and management in the food industry: life cycle assessment and related approaches. Woodhead Publishing, Cambridge

Soussana JF (2014) Research priorities for sustainable agri-food systems and life cycle assessment. J Clean Prod 73:19–23. https://doi.org/10.1016/j.jclepro.2014.02.061

Soylu A, Oruç C, Turkay M et al (2006) Synergy analysis of collaborative supply chain management in energy systems using multi-period MILP. Eur J Oper Res 174:387–403. https://doi.org/10.1016/j.ejor.2005.02.042

Spaiser V, Ranganathan S, Swain RB, Sumpter DJ (2017) The sustainable development oxymoron: quantifying and modelling the incompatibility of sustainable development goals. Int J Sustain Dev World Ecol 24:457–470. https://doi.org/10.1080/13504509.2016.1235624

Stewart R, Niero M (2018) Circular economy in corporate sustainability strategies: a review of corporate sustainability reports in the fast-moving consumer goods sector. Bus Strateg Environ 27:1005–1022. https://doi.org/10.1002/bse.2048

Stillitano T, Spada E, Iofrida N et al (2021) Sustainable agri-food processes and circular economy pathways in a life cycle perspective: state of the art of applicative research. Sustain 13:1–29. https://doi.org/10.3390/su13052472

Stone J, Rahimifard S (2018) Resilience in agri-food supply chains: a critical analysis of the literature and synthesis of a novel framework. Supply Chain Manag 23:207–238. https://doi.org/10.1108/SCM-06-2017-0201

Strazza C, Del Borghi A, Gallo M, Del Borghi M (2011) Resource productivity enhancement as means for promoting cleaner production: analysis of co-incineration in cement plants through a life cycle approach. J Clean Prod 19:1615–1621. https://doi.org/10.1016/j.jclepro.2011.05.014

Su B, Heshmati A, Geng Y, Yu X (2013) A review of the circular economy in China: moving from rhetoric to implementation. J Clean Prod 42:215–227. https://doi.org/10.1016/j.jclepro.2012.11.020

Suárez-Eiroa B, Fernández E, Méndez-Martínez G, Soto-Oñate D (2019) Operational principles of circular economy for sustainable development: linking theory and practice. J Clean Prod 214:952–961. https://doi.org/10.1016/j.jclepro.2018.12.271

Svensson G, Wagner B (2015) Implementing and managing economic, social and environmental efforts of business sustainability. Manag Environ Qual an Int Journal 26:195–213. https://doi.org/10.1108/MEQ-09-2013-0099

Tasca AL, Nessi S, Rigamonti L (2017) Environmental sustainability of agri-food supply chains: an LCA comparison between two alternative forms of production and distribution of endive in northern Italy. J Clean Prod 140:725–741. https://doi.org/10.1016/j.jclepro.2016.06.170

Tassielli G, Notarnicola B, Renzulli PA, Arcese G (2018) Environmental life cycle assessment of fresh and processed sweet cherries in southern Italy. J Clean Prod 171:184–197. https://doi.org/10.1016/j.jclepro.2017.09.227

Teixeira R, Pax S (2011) A survey of life cycle assessment practitioners with a focus on the agri-food sector. J Ind Ecol 15:817–820. https://doi.org/10.1111/j.1530-9290.2011.00421.x

Tobergte DR, Curtis S (2013) ILCD Handbook. J Chem Info Model. https://doi.org/10.278/33030

Tortorella MM, Di Leo S, Cosmi C et al (2020) A methodological integrated approach to analyse climate change effects in agri-food sector: the TIMES water-energy-food module. Int J Environ Res Public Health 17:1–21. https://doi.org/10.3390/ijerph17217703

Tranfield D, Denyer D, Smart P (2003) Towards a methodology for developing evidenceinformed management knowledge by means of systematic review. Br J Manag 14:207–222

Trivellas P, Malindretos G, Reklitis P (2020) Implications of green logistics management on sustainable business and supply chain performance: evidence from a survey in the greek agri-food sector. Sustain 12:1–29. https://doi.org/10.3390/su122410515

Tsangas M, Gavriel I, Doula M et al (2020) Life cycle analysis in the framework of agricultural strategic development planning in the Balkan region. Sustain 12:1–15. https://doi.org/10.3390/su12051813

Ülgen VS, Björklund M, Simm N (2019) Inter-organizational supply chain interaction for sustainability : a systematic literature review.

UNEP S (2020) Guidelines for social life cycle assessment of products and organizations 2020.

UNEP/SETAC (2009) United Nations Environment Programme-society of Environmental Toxicology and Chemistry. Guidelines for social life cycle assessment of products. France

United Nations (2011) Guiding principles on business and human rights. Implementing the United Nations “protect, respect and remedy” framework

United Nations (2015) Transforming our world: the 2030 agenda for sustainable development. sustainabledevelopment.un.org

Van Asselt ED, Van Bussel LGJ, Van Der Voet H et al (2014) A protocol for evaluating the sustainability of agri-food production systems - a case study on potato production in peri-urban agriculture in the Netherlands. Ecol Indic 43:315–321. https://doi.org/10.1016/j.ecolind.2014.02.027

Van der Ploeg JD (2014) Peasant-driven agricultural growth and food sovereignty. J Peasant Stud 41:999–1030. https://doi.org/10.1080/03066150.2013.876997

van Eck NJ, Waltman L (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84:523–538. https://doi.org/10.1007/s11192-009-0146-3

Van Eck NJ, Waltman L (2019) Manual for VOSviwer version 1.6.10. CWTS Meaningful metrics 1–53

Vasa L, Angeloska A, Trendov NM (2017) Comparative analysis of circular agriculture development in selected Western Balkan countries based on sustainable performance indicators. Econ Ann 168:44–47. https://doi.org/10.21003/ea.V168-09

Verdecho MJ, Alarcón-Valero F, Pérez-Perales D et al (2020) A methodology to select suppliers to increase sustainability within supply chains. Cent Eur J Oper Res. https://doi.org/10.1007/s10100-019-00668-3

Vergine P, Salerno C, Libutti A et al (2017) Closing the water cycle in the agro-industrial sector by reusing treated wastewater for irrigation. J Clean Prod 164:587–596. https://doi.org/10.1016/j.jclepro.2017.06.239

WCED (1987) Our common future - call for action

Webster K (2013) What might we say about a circular economy? Some temptations to avoid if possible. World Futures 69:542–554

Wheaton E, Kulshreshtha S (2013) Agriculture and climate change: implications for environmental sustainability indicators. WIT Trans Ecol Environ 175:99–110. https://doi.org/10.2495/ECO130091

Wijewickrama MKCS, Chileshe N, Rameezdeen R, Ochoa JJ (2021) Information sharing in reverse logistics supply chain of demolition waste: a systematic literature review. J Clean Prod 280:124359. https://doi.org/10.1016/j.jclepro.2020.124359

Woodhouse A, Davis J, Pénicaud C, Östergren K (2018) Sustainability checklist in support of the design of food processing. Sustain Prod Consum 16:110–120. https://doi.org/10.1016/j.spc.2018.06.008

Wu R, Yang D, Chen J (2014) Social Life Cycle Assessment Revisited Sustain 6:4200–4226. https://doi.org/10.3390/su6074200

Yadav S, Luthra S, Garg D (2021) Modelling Internet of things (IoT)-driven global sustainability in multi-tier agri-food supply chain under natural epidemic outbreaks. Environ Sci Pollut Res 16633–16654. https://doi.org/10.1007/s11356-020-11676-1

Yee FM, Shaharudin MR, Ma G et al (2021) Green purchasing capabilities and practices towards Firm’s triple bottom line in Malaysia. J Clean Prod 307:127268. https://doi.org/10.1016/j.jclepro.2021.127268

Yigitcanlar T (2010) Rethinking sustainable development: urban management, engineering, and design. IGI Global

Zamagni A, Amerighi O, Buttol P (2011) Strengths or bias in social LCA? Int J Life Cycle Assess 16:596–598. https://doi.org/10.1007/s11367-011-0309-3

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Silvestri, C., Silvestri, L., Piccarozzi, M. et al. Toward a framework for selecting indicators of measuring sustainability and circular economy in the agri-food sector: a systematic literature review. Int J Life Cycle Assess (2022). https://doi.org/10.1007/s11367-022-02032-1

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DOI : https://doi.org/10.1007/s11367-022-02032-1

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Successful Final Dissertation Defense - Congratulations to Jennifer M. Miller!

Successful Final Dissertation Defense - Congratulations to Jennifer M. Miller!

Doctoral Program | Student Spotlights

Congratulations to Jennifer Miller, who on Monday, April 15, confidently and successfully defended her final dissertation. The title of Jennifer’s dissertation is : A QUALITATIVE STUDY OF HOW COMMUNITY COLLEGE LEADERS IMPLEMENT AND SUSTAIN GUIDED PATHWAYS ORGANIZATIONAL CHANGE .  

The purpose of this qualitative study was to understand U.S.-based, public, non-baccalaureate-granting community college pathways project leaders’ perspectives of guided pathways organization change. Drawing upon Kezar’s (2018) change macro framework theory on how colleges change, the study sought to understand how project leaders managed the ongoing change process using the sub theory of organizational learning. The research questions were: (a) How do community college guided pathways project leads describe implementing and sustaining organizational change, specifically guided pathways? and (b) How do community college guided pathways project leads use concepts from organizational learning in implementing and sustaining guided pathways? Data were collected via semi structured interviews from 16 pathways project leaders with a variety of titles and from colleges of varying sizes and geographic locations that participated in either a national- or state-based guided pathways institute model. The findings suggested guided pathways leads perceived that (a) reflection, both internal self-reflection and reflecting with others; (b) engaging with stakeholders, including engaging those internal to the campus and external college stakeholders, in the change effort; and (c) communication, both campus-wide communication and the guided pathways language used, mattered when implementing and sustaining guided pathways organizational change. Based on participant responses, Kezar’s (2018) tenets of organizational learning were also found to matter to varying degrees when implementing change in their college.

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IMAGES

  1. 8+ Qualitative Research Proposal Templates

    qualitative research phd dissertation

  2. 8+ Qualitative Research Proposal Templates

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  3. How To Write Methods Section Of Qualitative Research Paper

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  4. (PDF) From Qualitative Dissertation to Quality Articles: Seven Lessons

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  5. Sample Qualitative Dissertation Proposal

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VIDEO

  1. Research Designs: Part 2 of 3: Qualitative Research Designs (ሪሰርች ዲዛይን

  2. 2023 PhD Research Methods: Qualitative Research and PhD Journey

  3. Research Methodology Example for the PhD

  4. Research Design

  5. Ray's Research Corner: Qualitative and Quantitative Research

  6. What is Literature Review/ Academic Writing/ Thesis / Dissertation/ Research Articles

COMMENTS

  1. PDF Writing up your PhD (Qualitative Research)

    Unpublished PhD thesis, Canterbury Christ Church University. Ko, Chao-jung (2010) 'Early-stage French as a Foreign Language in Taiwan: a case study involving second-language oral proficiency, motivation and social presence in synchronous computer-mediated communication'. Unpublished PhD thesis, University of Edinburgh.

  2. A Qualitative Study Exploring Faculty Perception and Adaptation of

    Doctoral Candidate, Kathleen Marino, has successfully defended and made the required modifications to the text ofthe doctoral dissertation for the Ph.D. during this Spring Semester 2012. DISSERTATION COMMITTEE (please sign and date beside your name) Mentor: Dr. Joseph Stetar . I . Committee Member: Dr. Rong Chen . Committee Member: Dr. Kathleen ...

  3. Completing Your Qualitative Dissertation

    Addressing the key challenges facing doctoral students, this text fills a gap in qualitative literature by offering comprehensive guidance and practical tools for navigating each step in the qualitative dissertation journey, including the planning, research, and writing phases. Author Linda Dale Bloomberg blends the conceptual, theoretical, and ...

  4. PDF A Sample Qualitative Dissertation Proposal

    Rationale for Qualitative Methods The purpose of qualitative research is to understand and explain participant meaning (Morrow & Smith, 2000). More specifically, Creswell (1998) defines qualitative research as, an inquiry process of understanding based on distinct methodological traditions of inquiry that explore a social or human problem.

  5. Qualitative Dissertation Methodology

    KEY FEATURES: The book addresses the unique challenges inherent in qualitative research, such as analyzing and interpreting results and ethics and protecting human research participants.; A section-by-section approach to methodology chapter development allows readers to develop one part of the methodological framework at a time instead focusing on the dissertation as an overwhelming whole.

  6. 101 Qualitative Dissertation Questions

    Part 8 provides the information that one needs regarding the various activities that occur after writing the dissertation. Part 1: Planning and Gearing Up. Part 2: Choosing an Appropriate Qualitative Approach. Part 3: Preparing and Writing the Proposal. Part 4: Conducting the Research: Data Collection.

  7. Tips for a qualitative dissertation

    Undertaking an MSc dissertation in Evidence-Based Health Care (EBHC) may be your first hands-on experience of doing qualitative research. I chatted to Dr. Veronika Williams, an experienced qualitative researcher, and tutor on the EBHC programme, to find out her top tips for producing a high-quality qualitative EBHC thesis. 1) Make the switch ...

  8. What Is Qualitative Research?

    Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research. Qualitative research is the opposite of quantitative research, which involves collecting and ...

  9. PDF The Qualitative Doctoral Dissertation Proposal

    INTRODUCTION. The dissertation proposal is one of the milestones in the education of a doctoral candidate. The proposal begins the final long leg of the doctoral journey, and its acceptance is usually met with a well-deserved sense of accomplishment, a sigh of relief, and a tingle of anticipation. It is indeed a personal milestone.

  10. Presenting Findings (Qualitative)

    Qualitative research presents "best examples" of raw data to demonstrate an analytic point, not simply to display data. Numbers (descriptive statistics) help your reader understand how prevalent or typical a finding is. Numbers are helpful and should not be avoided simply because this is a qualitative dissertation.

  11. A Guide to Quantitative and Qualitative Dissertation Research (Second

    Qualitative Dissertation Research (Second Edition) March 24, 2017 James P. Sampson, Jr., Ph.D. 1114 West Call Street, Suite 1100 ... purely coincidental and likely represents a prevalent view of dissertation research espoused in doctoral research courses, dissertation supervision, and doctoral defenses at my own university

  12. Dissertation Results & Findings Chapter (Qualitative)

    The results chapter in a dissertation or thesis (or any formal academic research piece) is where you objectively and neutrally present the findings of your qualitative analysis (or analyses if you used multiple qualitative analysis methods ). This chapter can sometimes be combined with the discussion chapter (where you interpret the data and ...

  13. PDF 3 Methodology

    your chosen research method, and describe the process and participants in your study). The Methodology chapter is perhaps the part of a qualitative thesis that is most unlike its equivalent in a quantitative study. Students doing quantitative research have an established conventional 'model' to work to, which comprises these possible elements:

  14. PDF Student Engagement: a Qualitative Study of Extracurricular Activities

    thesis supervisor during this research. The effort, encouragement, wisdom, and valuable recommendations and guidance he imparted greatly supported me throughout this research completion. Many thanks, Jim. I am most thankful to the members of my dissertation committee, Dr. John Portelli and Dr. Joe Flessa.

  15. Full article: Qualitative methods in PhD theses from general practice

    With these methods, human and social interaction and meaning can be explored and shared by systematic interpretation of text from talk, observation or video. Qualitative studies are often included in Ph.D. theses from general practice in Scandinavia. Still, the Ph.D. programs across nations and institutions offer only limited training in ...

  16. Qualitative research

    Dissertations and research projects Online study guides for every stage of your research project, from planning to writing up. ... You are likely to need a variety of tools in qualitative research - different theories, models or concepts - to help you tackle different parts of your research question.

  17. PDF Building a Dissertation Conceptual and Theoretical Framework: A Recent

    lens of one doctoral student's qualitative dissertation. Using Ravitch and Carl's (2021) conceptual framework guide, each key component is explored, using my own dissertation as an example. Breaking down each framework section step-by-step, my journey illustrates the iterative process that conceptual framework development requires.

  18. PDF University of Roehampton DOCTORAL THESIS A qualitative study to

    DOCTORAL THESIS A qualitative study to investigate in what ways are the distinctive features of synchronous text- based counselling experienced as being helpful and/or unhelpful by ... research area followed by the rationale for this study. The aims of the study shall then be discussed. Finally, I will present a reflexive statement regarding my ...

  19. Qualitative Data Analysis Methods for Dissertations

    The method you choose will depend on your research objectives and questions. These are the most common qualitative data analysis methods to help you complete your dissertation: 2. Content analysis: This method is used to analyze documented information from texts, email, media and tangible items.

  20. Planning Qualitative Research: Design and Decision Making for New

    While many books and articles guide various qualitative research methods and analyses, there is currently no concise resource that explains and differentiates among the most common qualitative approaches. We believe novice qualitative researchers, students planning the design of a qualitative study or taking an introductory qualitative research course, and faculty teaching such courses can ...

  21. PhD in Qualitative Research and Evaluation Methodologies

    You can use this knowledge to pursue careers as research methodologists and evaluation specialists in higher education, corporations, and non-profit agencies. The Ph.D. degree is a 54-credit hour degree program in which students engage in advanced study of qualitative theories and methods, mixed methods, and approaches to evaluation.

  22. PDF www.ijcer.net An Exploratory Study on the PhD Dissertation: PhD ...

    dissertation process in the field of educational sciences. This research adapts a qualitative research methodology and a case study design. Participants of the research were selected by purposeful sampling method with regard to the topic of interest. The majority of the participants, the PhD students, worked as research assistants at the

  23. Toward a framework for selecting indicators of measuring ...

    Case studies are the most used tool for developing qualitative empirical research, both for Sect. 5.2.1 and "Decision-making." In the Sect. 5.2.1 cluster, the use of case studies is crucial to measure the impact of agricultural activities on the environment and, in some cases, also on the economic and social dimensions.

  24. Opportunities and Challenges of Qualitative Research in ...

    Qualitative research practices were found to be low among health sciences academics. Lack of resources, training, and expertise, problems associated with publication, a lack of funding, and a shortage of experts were the main challenges in conducting qualitative research in health sciences academic settings in Ethiopia. 1.

  25. Successful Final Dissertation Defense

    Congratulations to Jennifer Miller, who on Monday, April 15, confidently and successfully defended her final dissertation. The title of Jennifer's dissertation is: A QUALITATIVE STUDY OF HOW COMMUNITY COLLEGE LEADERS IMPLEMENT AND SUSTAIN GUIDED PATHWAYS ORGANIZATIONAL CHANGE.. The purpose of this qualitative study was to understand U.S.-based, public, non-baccalaureate-granting community ...