qualitative research budget example

The Research Whisperer

Just like the thesis whisperer – but with more money, how to make a simple research budget.

A napkin diagram of the basic concepts in a project: interviews in South East Asia and trails with a Thingatron

Every research project needs a budget*.

If you are applying for funding, you must say what you are planning to spend that funding on. More than that, you need to show how spending that money will help you to answer your research question .

So, developing the budget is the perfect time to plan your project clearly . A good budget shows the assessors that you have thought about your research in detail and, if it is done well, it can serve as a great, convincing overview of the project.

Here are five steps to create a simple budget for your research project.

1. List your activities

Make a list of everything that you plan to do in the project, and who is going to do it.

Take your methodology and turn it into a step-by-step plan. Have you said that you will interview 50 people? Write it on your list.

Are you performing statistical analysis on your sample? Write it down.

Think through the implications of what you are going to do. Do you need to use a Thingatron? Note down that you will need to buy it, install it, and commission it.

What about travel? Write down each trip separately. Be specific. You can’t just go to ‘South East Asia’ to do fieldwork. You need to go to Kuala Lumpur to interview X number of people over Y weeks, then the same again for Singapore and Jakarta.

Your budget list might look like this:

I’m going to do 10 interviews in Kuala Lumpur; 10 interviews in Singapore; 10 interviews in Jakarta by me.
I’ll need teaching release for three months for fieldwork.
I’ll need Flights to KL, Singapore, Jakarta and back to Melbourne.
I’ll need Accommodation for a month in each place, plus per diem.
The transcription service will transcribe the 30 interviews.
I’ll analysis the transcribed results. (No teaching release required – I’ll do it in my meagre research time allowance.)
I’ll need a Thingatron X32C to do the trials.
Thing Inc will need to install the Thingatron. (I wonder how long that will take.)
The research assistant will do three trials a month with the Thingatron.
I’ll need to hire a research assistant (1 day per week for a year at Level B1.)
The research assistant will do the statistical analysis of the Thingatron results.
I’ll do the writing up in my research allowance time.

By the end, you should feel like you have thought through the entire project in detail. You should be able to walk someone else through the project, so grab a critical friend and read the list to them. If they ask questions, write down the answers.

This will help you to get to the level of specificity you need for the next step.

2. Check the rules again

You’ve already read the funding rules, right? If not, go and read them now – I’ll wait right here until you get back.

Once you’ve listed everything you want to do, go back and read the specific rules for budgets again. What is and isn’t allowed? The funding scheme won’t pay for equipment – you’ll need to fund your Thingatron from somewhere else. Cross it off.

Some schemes won’t fund people. Others won’t fund travel. It is important to know what you need for your project. It is just as important to know what you can include in the application that you are writing right now.

Most funding schemes won’t fund infrastructure (like building costs) and other things that aren’t directly related to the project. Some will, though. If they do, you should include overheads (i.e. the general costs that your organisation needs to keep running). This includes the cost of basics like power and lighting; desks and chairs; and cleaners and security staff. It also includes service areas like the university library. Ask your finance officer for help with this. Often, it is a percentage of the overall cost of the project.

If you are hiring people, don’t forget to use the right salary rate and include salary on-costs. These are the extra costs that an organisation has to pay for an employee, but that doesn’t appear in their pay check. This might include things like superannuation, leave loading, insurance, and payroll tax. Once again, your finance officer can help with this.

Your budget list might now look like this:

10 interviews in Kuala Lumpur; 10 interviews in Singapore; 10 interviews in Jakarta by me.
Teaching release for three months for fieldwork.
Flights to KL, Singapore, Jakarta and back to Melbourne.
Accommodation for a month in each place, plus per diem, plus travel insurance (rule 3F).
Transcription of 30 interviews, by the transcription service.
Analysis of transcribed results, by me. No teaching release required.
Purchase and install Thingatron X32C, by Thing Inc . Not allowed by rule 3C . Organise access to Thingatron via partner organistion – this is an in-kind contribution to the project.
Three trials a month with Thingatron, by research assistant.
Statistical analysis of Thingatron results, by research assistant.
Research assistant: 1 day per week for a year at Level B1, plus 25.91% salary on-costs.
Overheads at 125% of total cash request, as per rule 3H.

3. Cost each item

For each item on your list, find a reasonable cost for it . Are you going to interview the fifty people and do the statistical analysis yourself? If so, do you need time release from teaching? How much time? What is your salary for that period of time, or how much will it cost to hire a replacement? Don’t forget any hidden costs, like salary on-costs.

If you aren’t going to do the work yourself, work out how long you need a research assistant for. Be realistic. Work out what level you want to employ them at, and find out how much that costs.

How much is your Thingatron going to cost? Sometimes, you can just look that stuff up on the web. Other times, you’ll need to ring a supplier, particularly if there are delivery and installation costs.

Jump on a travel website and find reasonable costs for travel to Kuala Lumpur and the other places. Find accommodation costs for the period that you are planning to stay, and work out living expenses. Your university, or your government, may have per diem rates for travel like this.

Make a note of where you got each of your estimates from. This will be handy later, when you write the budget justification.

10 interviews in Kuala Lumpur; 10 interviews in Singapore; 10 interviews in Jakarta by me (see below for travel costs).
Teaching release for three months for fieldwork = $25,342 – advice from finance officer.
Flights to KL ($775), Singapore ($564), Jakarta ($726), Melbourne ($535) – Blue Sky airlines, return economy.
Accommodation for a month in each place (KL: $3,500; Sing: $4,245; Jak: $2,750 – long stay, three star accommodation as per TripAdviser).
Per diem for three months (60 days x $125 per day – University travel rules).
Travel insurance (rule 3F): $145 – University travel insurance calculator .
Transcription of 30 interviews, by the transcription service: 30 interviews x 60 minutes per interview x $2.75 per minute – Quote from transcription service, accented voices rate.
Analysis of transcribed results, by me. No teaching release required. (In-kind contribution of university worth $2,112 for one week of my time – advice from finance officer ).
Purchase and install Thingatron X32C, by Thing Inc . Not allowed by rule 3C. Organise access to Thingatron via partner organistion – this is an in-kind contribution to the project. ($2,435 in-kind – quote from partner organisation, at ‘favoured client’ rate.)
Research assistant: 1 day per week for a year at Level B1, plus 25.91% salary on-costs. $12,456 – advice from finance officer.

Things are getting messy, but the next step will tidy it up.

4. Put it in a spreadsheet

Some people work naturally in spreadsheets (like Excel). Others don’t. If you don’t like Excel, tough. You are going to be doing research budgets for the rest of your research life.

When you are working with budgets, a spreadsheet is the right tool for the job, so learn to use it! Learn enough to construct a simple budget – adding things up and multiplying things together will get you through most of it. Go and do a course if you have to.

For a start, your spreadsheet will multiply things like 7 days in Kuala Lumpur at $89.52 per day, and it will also add up all of your sub-totals for you.

If your budget doesn’t add up properly (because, for example, you constructed it as a table in Word), two things will happen. First, you will look foolish. Secondly, and more importantly, people will lose confidence in all your other numbers, too. If your total is wrong, they will start to question the validity of the rest of your budget. You don’t want that.

If you are shy of maths, then Excel is your friend. It will do most of the heavy lifting for you.

For this exercise, the trick is to put each number on a new line. Here is how it might look.

5. Justify it

Accompanying every budget is a budget justification. For each item in your budget, you need to answer two questions:

Why do you need this money?
Where did you get your figures from?

The budget justification links your budget to your project plan and back again. Everything item in your budget should be listed in your budget justification, so take the list from your budget and paste it into your budget justification.

For each item, give a short paragraph that says why you need it. Refer back to the project plan and expand on what is there. For example, if you have listed a research assistant in your application, this is a perfect opportunity to say what the research assistant will be doing.

Also, for each item, show where you got your figures from. For a research assistant, this might mean talking about the level of responsibility required, so people can understand why you chose the salary level. For a flight, it might be as easy as saying: “Blue Sky airlines economy return flight.”

Here is an example for just one aspect of the budget:

Fieldwork: Kuala Lumpur

Past experience has shown that one month allows enough time to refine and localise interview questions with research partners at University of Malaya, test interview instrument, recruit participants, conduct ten x one-hour interviews with field notes. In addition, the novel methodology will be presented at CONF2015, to be held in Malaysia in February 2015.

Melbourne – Kuala Lumpur economy airfare is based on current Blue Sky Airlines rates. Note that airfares have been kept to a minimum by travelling from country to country, rather than returning to Australia.

1 month accommodation is based on three star, long stay accommodation rates provided by TripAdvisor.

30 days per diem rate is based on standard university rates for South-East Asia.

Pro tip: Use the same nomenclature everywhere. If you list a Thingatron X32C in your budget, then call it a Thingatron X32C in your budget justification and project plan. In an ideal world, someone should be able to flip from the project plan, to the budget and to the budget justification and back again and always know exactly where they are.

Project plan: “Doing fieldwork in Malaysia? Whereabouts?” Flips to budget.
Budget: “A month in Kuala Lumpur – OK. Why a month?” Flips to budget justification.
Budget justification: “Ah, the field work happens at the same time as the conference. Now I get it. So, what are they presenting at the conference?” Flips back to the project description…

So, there you have it: Make a list; check the rules; cost everything; spreadsheet it; and then justify it. Budget done. Good job, team!

This article builds on several previous articles. I have shamelessly stolen from them.

Constructing your budget – Jonathan O’Donnell.
What makes a winning budget ? – Jonathan O’Donnell.
How NOT to pad your budget – Tseen Khoo.
Conquer the budget, conquer the project – Tseen Khoo.
Research on a shoestring – Emily Kothe.
How to make a simple Gantt chart – Jonathan O’Donnell.

* Actually, there are some grant schemes that give you a fixed amount of money, which I think is a really great idea . However, you will still need to work out what you are going to spend the money on, so you will still need a budget at some stage, even if you don’t need it for the application.

Also in the ‘simple grant’ series:

How to write a simple research methods section .
How to make a simple Gantt chart .

Cash contributions

Cash contributions are actual cash transactions that can be documented in the accounting system. Examples of cash contributions include:

allocation of compensated faculty and staff time to projects, or
the purchasing of equipment by the university or other eligible sponsor for the benefit of the project.

In-kind contributions

In-kind contributions are both non-monetary or cash equivalent resources that can be given a cash value, such as goods and/or services in support of a research project or proposal. It is challenging to report on in-kind contribution, please make sure the numbers you use are well supported, consistent and easy to quantitate.

Examples of an in-kind contribution may include:

Access to unique database or information
Professional, analytical, and other donated services
Employee salaries including benefits for time allocated to the project
Study materials, technologies, or components
Patents and licenses for use
Use of facilities (e.g., lab or meeting spaces)
Partner organization time spent participating in the project
Eligible infrastructure items

Matching on sponsored projects

Some sponsored projects require the university and/or a third party to contribute a portion of the project costs–this contribution is known as matching.

Matching requirements may be in the form of an actual cash expenditure of funds or may be an “in-kind” match. For example:

A 1:1 match would require $100 of a third-party matching for every $100 received from an agency.
A 30% match would mean that of a total budget of $100, the agency would provide $70 and a third party would need to match $30.

Examples of agency programs that include some form of matching from a third party are:

NSERC Collaborative Research and Development Grants
NSERC Idea to Innovation Grants
SSHRC Partnership Grants
CIHR Industry Partnered Collaborative Research Program, and
CIHR Proof of Principle Grants

Additional resources

Current salary and benefit rates for graduate students and postdocs/research associates
SFU Business and Travel Expense Policy
Animal care services

Principles of Social Research Methodology pp 263–277 Cite as

Designing a Research Proposal in Qualitative Research

Md. Ismail Hossain 4 ,
Nafiul Mehedi 4 &
Iftakhar Ahmad 4
First Online: 27 October 2022

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The chapter discusses designing a research proposal in qualitative research. The main objective is to outline the major components of a qualitative research proposal with example(s) so that the students and novice scholars easily get an understanding of a qualitative proposal. The chapter highlights the major components of a qualitative research proposal and discusses the steps involved in designing a proposal. In each step, an example is given with some essential tips. Following these steps and tips, a novice researcher can easily prepare a qualitative research proposal. Readers, especially undergraduate and master’s students, might use this as a guideline while preparing a thesis proposal. After reading this chapter, they can easily prepare a qualitative proposal.

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Hossain, M.I., Mehedi, N., Ahmad, I. (2022). Designing a Research Proposal in Qualitative Research. In: Islam, M.R., Khan, N.A., Baikady, R. (eds) Principles of Social Research Methodology. Springer, Singapore. https://doi.org/10.1007/978-981-19-5441-2_18

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Int J Prev Med

Qualitative Methods in Health Care Research

Vishnu renjith.

School of Nursing and Midwifery, Royal College of Surgeons Ireland - Bahrain (RCSI Bahrain), Al Sayh Muharraq Governorate, Bahrain

Renjulal Yesodharan

1 Department of Mental Health Nursing, Manipal College of Nursing Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India

Judith A. Noronha

2 Department of OBG Nursing, Manipal College of Nursing Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India

Elissa Ladd

3 School of Nursing, MGH Institute of Health Professions, Boston, USA

Anice George

4 Department of Child Health Nursing, Manipal College of Nursing Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India

Healthcare research is a systematic inquiry intended to generate robust evidence about important issues in the fields of medicine and healthcare. Qualitative research has ample possibilities within the arena of healthcare research. This article aims to inform healthcare professionals regarding qualitative research, its significance, and applicability in the field of healthcare. A wide variety of phenomena that cannot be explained using the quantitative approach can be explored and conveyed using a qualitative method. The major types of qualitative research designs are narrative research, phenomenological research, grounded theory research, ethnographic research, historical research, and case study research. The greatest strength of the qualitative research approach lies in the richness and depth of the healthcare exploration and description it makes. In health research, these methods are considered as the most humanistic and person-centered way of discovering and uncovering thoughts and actions of human beings.

Introduction

Healthcare research is a systematic inquiry intended to generate trustworthy evidence about issues in the field of medicine and healthcare. The three principal approaches to health research are the quantitative, the qualitative, and the mixed methods approach. The quantitative research method uses data, which are measures of values and counts and are often described using statistical methods which in turn aids the researcher to draw inferences. Qualitative research incorporates the recording, interpreting, and analyzing of non-numeric data with an attempt to uncover the deeper meanings of human experiences and behaviors. Mixed methods research, the third methodological approach, involves collection and analysis of both qualitative and quantitative information with an objective to solve different but related questions, or at times the same questions.[ 1 , 2 ]

In healthcare, qualitative research is widely used to understand patterns of health behaviors, describe lived experiences, develop behavioral theories, explore healthcare needs, and design interventions.[ 1 , 2 , 3 ] Because of its ample applications in healthcare, there has been a tremendous increase in the number of health research studies undertaken using qualitative methodology.[ 4 , 5 ] This article discusses qualitative research methods, their significance, and applicability in the arena of healthcare.

Qualitative Research

Diverse academic and non-academic disciplines utilize qualitative research as a method of inquiry to understand human behavior and experiences.[ 6 , 7 ] According to Munhall, “Qualitative research involves broadly stated questions about human experiences and realities, studied through sustained contact with the individual in their natural environments and producing rich, descriptive data that will help us to understand those individual's experiences.”[ 8 ]

Significance of Qualitative Research

The qualitative method of inquiry examines the 'how' and 'why' of decision making, rather than the 'when,' 'what,' and 'where.'[ 7 ] Unlike quantitative methods, the objective of qualitative inquiry is to explore, narrate, and explain the phenomena and make sense of the complex reality. Health interventions, explanatory health models, and medical-social theories could be developed as an outcome of qualitative research.[ 9 ] Understanding the richness and complexity of human behavior is the crux of qualitative research.

Differences between Quantitative and Qualitative Research

The quantitative and qualitative forms of inquiry vary based on their underlying objectives. They are in no way opposed to each other; instead, these two methods are like two sides of a coin. The critical differences between quantitative and qualitative research are summarized in Table 1 .[ 1 , 10 , 11 ]

Differences between quantitative and qualitative research

Qualitative Research Questions and Purpose Statements

Qualitative questions are exploratory and are open-ended. A well-formulated study question forms the basis for developing a protocol, guides the selection of design, and data collection methods. Qualitative research questions generally involve two parts, a central question and related subquestions. The central question is directed towards the primary phenomenon under study, whereas the subquestions explore the subareas of focus. It is advised not to have more than five to seven subquestions. A commonly used framework for designing a qualitative research question is the 'PCO framework' wherein, P stands for the population under study, C stands for the context of exploration, and O stands for the outcome/s of interest.[ 12 ] The PCO framework guides researchers in crafting a focused study question.

Example: In the question, “What are the experiences of mothers on parenting children with Thalassemia?”, the population is “mothers of children with Thalassemia,” the context is “parenting children with Thalassemia,” and the outcome of interest is “experiences.”

The purpose statement specifies the broad focus of the study, identifies the approach, and provides direction for the overall goal of the study. The major components of a purpose statement include the central phenomenon under investigation, the study design and the population of interest. Qualitative research does not require a-priori hypothesis.[ 13 , 14 , 15 ]

Example: Borimnejad et al . undertook a qualitative research on the lived experiences of women suffering from vitiligo. The purpose of this study was, “to explore lived experiences of women suffering from vitiligo using a hermeneutic phenomenological approach.” [ 16 ]

Review of the Literature

In quantitative research, the researchers do an extensive review of scientific literature prior to the commencement of the study. However, in qualitative research, only a minimal literature search is conducted at the beginning of the study. This is to ensure that the researcher is not influenced by the existing understanding of the phenomenon under the study. The minimal literature review will help the researchers to avoid the conceptual pollution of the phenomenon being studied. Nonetheless, an extensive review of the literature is conducted after data collection and analysis.[ 15 ]

Reflexivity

Reflexivity refers to critical self-appraisal about one's own biases, values, preferences, and preconceptions about the phenomenon under investigation. Maintaining a reflexive diary/journal is a widely recognized way to foster reflexivity. According to Creswell, “Reflexivity increases the credibility of the study by enhancing more neutral interpretations.”[ 7 ]

Types of Qualitative Research Designs

The qualitative research approach encompasses a wide array of research designs. The words such as types, traditions, designs, strategies of inquiry, varieties, and methods are used interchangeably. The major types of qualitative research designs are narrative research, phenomenological research, grounded theory research, ethnographic research, historical research, and case study research.[ 1 , 7 , 10 ]

Narrative research

Narrative research focuses on exploring the life of an individual and is ideally suited to tell the stories of individual experiences.[ 17 ] The purpose of narrative research is to utilize 'story telling' as a method in communicating an individual's experience to a larger audience.[ 18 ] The roots of narrative inquiry extend to humanities including anthropology, literature, psychology, education, history, and sociology. Narrative research encompasses the study of individual experiences and learning the significance of those experiences. The data collection procedures include mainly interviews, field notes, letters, photographs, diaries, and documents collected from one or more individuals. Data analysis involves the analysis of the stories or experiences through “re-storying of stories” and developing themes usually in chronological order of events. Rolls and Payne argued that narrative research is a valuable approach in health care research, to gain deeper insight into patient's experiences.[ 19 ]

Example: Karlsson et al . undertook a narrative inquiry to “explore how people with Alzheimer's disease present their life story.” Data were collected from nine participants. They were asked to describe about their life experiences from childhood to adulthood, then to current life and their views about the future life. [ 20 ]

Phenomenological research

Phenomenology is a philosophical tradition developed by German philosopher Edmond Husserl. His student Martin Heidegger did further developments in this methodology. It defines the 'essence' of individual's experiences regarding a certain phenomenon.[ 1 ] The methodology has its origin from philosophy, psychology, and education. The purpose of qualitative research is to understand the people's everyday life experiences and reduce it into the central meaning or the 'essence of the experience'.[ 21 , 22 ] The unit of analysis of phenomenology is the individuals who have had similar experiences of the phenomenon. Interviews with individuals are mainly considered for the data collection, though, documents and observations are also useful. Data analysis includes identification of significant meaning elements, textural description (what was experienced), structural description (how was it experienced), and description of 'essence' of experience.[ 1 , 7 , 21 ] The phenomenological approach is further divided into descriptive and interpretive phenomenology. Descriptive phenomenology focuses on the understanding of the essence of experiences and is best suited in situations that need to describe the lived phenomenon. Hermeneutic phenomenology or Interpretive phenomenology moves beyond the description to uncover the meanings that are not explicitly evident. The researcher tries to interpret the phenomenon, based on their judgment rather than just describing it.[ 7 , 21 , 22 , 23 , 24 ]

Example: A phenomenological study conducted by Cornelio et al . aimed at describing the lived experiences of mothers in parenting children with leukemia. Data from ten mothers were collected using in-depth semi-structured interviews and were analyzed using Husserl's method of phenomenology. Themes such as “pivotal moment in life”, “the experience of being with a seriously ill child”, “having to keep distance with the relatives”, “overcoming the financial and social commitments”, “responding to challenges”, “experience of faith as being key to survival”, “health concerns of the present and future”, and “optimism” were derived. The researchers reported the essence of the study as “chronic illness such as leukemia in children results in a negative impact on the child and on the mother.” [ 25 ]

Grounded Theory Research

Grounded theory has its base in sociology and propagated by two sociologists, Barney Glaser, and Anselm Strauss.[ 26 ] The primary purpose of grounded theory is to discover or generate theory in the context of the social process being studied. The major difference between grounded theory and other approaches lies in its emphasis on theory generation and development. The name grounded theory comes from its ability to induce a theory grounded in the reality of study participants.[ 7 , 27 ] Data collection in grounded theory research involves recording interviews from many individuals until data saturation. Constant comparative analysis, theoretical sampling, theoretical coding, and theoretical saturation are unique features of grounded theory research.[ 26 , 27 , 28 ] Data analysis includes analyzing data through 'open coding,' 'axial coding,' and 'selective coding.'[ 1 , 7 ] Open coding is the first level of abstraction, and it refers to the creation of a broad initial range of categories, axial coding is the procedure of understanding connections between the open codes, whereas selective coding relates to the process of connecting the axial codes to formulate a theory.[ 1 , 7 ] Results of the grounded theory analysis are supplemented with a visual representation of major constructs usually in the form of flow charts or framework diagrams. Quotations from the participants are used in a supportive capacity to substantiate the findings. Strauss and Corbin highlights that “the value of the grounded theory lies not only in its ability to generate a theory but also to ground that theory in the data.”[ 27 ]

Example: Williams et al . conducted a grounded theory research to explore the nature of relationship between the sense of self and the eating disorders. Data were collected form 11 women with a lifetime history of Anorexia Nervosa and were analyzed using the grounded theory methodology. Analysis led to the development of a theoretical framework on the nature of the relationship between the self and Anorexia Nervosa. [ 29 ]

Ethnographic research

Ethnography has its base in anthropology, where the anthropologists used it for understanding the culture-specific knowledge and behaviors. In health sciences research, ethnography focuses on narrating and interpreting the health behaviors of a culture-sharing group. 'Culture-sharing group' in an ethnography represents any 'group of people who share common meanings, customs or experiences.' In health research, it could be a group of physicians working in rural care, a group of medical students, or it could be a group of patients who receive home-based rehabilitation. To understand the cultural patterns, researchers primarily observe the individuals or group of individuals for a prolonged period of time.[ 1 , 7 , 30 ] The scope of ethnography can be broad or narrow depending on the aim. The study of more general cultural groups is termed as macro-ethnography, whereas micro-ethnography focuses on more narrowly defined cultures. Ethnography is usually conducted in a single setting. Ethnographers collect data using a variety of methods such as observation, interviews, audio-video records, and document reviews. A written report includes a detailed description of the culture sharing group with emic and etic perspectives. When the researcher reports the views of the participants it is called emic perspectives and when the researcher reports his or her views about the culture, the term is called etic.[ 7 ]

Example: The aim of the ethnographic study by LeBaron et al . was to explore the barriers to opioid availability and cancer pain management in India. The researchers collected data from fifty-nine participants using in-depth semi-structured interviews, participant observation, and document review. The researchers identified significant barriers by open coding and thematic analysis of the formal interview. [ 31 ]

Historical research

Historical research is the “systematic collection, critical evaluation, and interpretation of historical evidence”.[ 1 ] The purpose of historical research is to gain insights from the past and involves interpreting past events in the light of the present. The data for historical research are usually collected from primary and secondary sources. The primary source mainly includes diaries, first hand information, and writings. The secondary sources are textbooks, newspapers, second or third-hand accounts of historical events and medical/legal documents. The data gathered from these various sources are synthesized and reported as biographical narratives or developmental perspectives in chronological order. The ideas are interpreted in terms of the historical context and significance. The written report describes 'what happened', 'how it happened', 'why it happened', and its significance and implications to current clinical practice.[ 1 , 10 ]

Example: Lubold (2019) analyzed the breastfeeding trends in three countries (Sweden, Ireland, and the United States) using a historical qualitative method. Through analysis of historical data, the researcher found that strong family policies, adherence to international recommendations and adoption of baby-friendly hospital initiative could greatly enhance the breastfeeding rates. [ 32 ]

Case study research

Case study research focuses on the description and in-depth analysis of the case(s) or issues illustrated by the case(s). The design has its origin from psychology, law, and medicine. Case studies are best suited for the understanding of case(s), thus reducing the unit of analysis into studying an event, a program, an activity or an illness. Observations, one to one interviews, artifacts, and documents are used for collecting the data, and the analysis is done through the description of the case. From this, themes and cross-case themes are derived. A written case study report includes a detailed description of one or more cases.[ 7 , 10 ]

Example: Perceptions of poststroke sexuality in a woman of childbearing age was explored using a qualitative case study approach by Beal and Millenbrunch. Semi structured interview was conducted with a 36- year mother of two children with a history of Acute ischemic stroke. The data were analyzed using an inductive approach. The authors concluded that “stroke during childbearing years may affect a woman's perception of herself as a sexual being and her ability to carry out gender roles”. [ 33 ]

Sampling in Qualitative Research

Qualitative researchers widely use non-probability sampling techniques such as purposive sampling, convenience sampling, quota sampling, snowball sampling, homogeneous sampling, maximum variation sampling, extreme (deviant) case sampling, typical case sampling, and intensity sampling. The selection of a sampling technique depends on the nature and needs of the study.[ 34 , 35 , 36 , 37 , 38 , 39 , 40 ] The four widely used sampling techniques are convenience sampling, purposive sampling, snowball sampling, and intensity sampling.

Convenience sampling

It is otherwise called accidental sampling, where the researchers collect data from the subjects who are selected based on accessibility, geographical proximity, ease, speed, and or low cost.[ 34 ] Convenience sampling offers a significant benefit of convenience but often accompanies the issues of sample representation.

Purposive sampling

Purposive or purposeful sampling is a widely used sampling technique.[ 35 ] It involves identifying a population based on already established sampling criteria and then selecting subjects who fulfill that criteria to increase the credibility. However, choosing information-rich cases is the key to determine the power and logic of purposive sampling in a qualitative study.[ 1 ]

Snowball sampling

The method is also known as 'chain referral sampling' or 'network sampling.' The sampling starts by having a few initial participants, and the researcher relies on these early participants to identify additional study participants. It is best adopted when the researcher wishes to study the stigmatized group, or in cases, where findings of participants are likely to be difficult by ordinary means. Respondent ridden sampling is an improvised version of snowball sampling used to find out the participant from a hard-to-find or hard-to-study population.[ 37 , 38 ]

Intensity sampling

The process of identifying information-rich cases that manifest the phenomenon of interest is referred to as intensity sampling. It requires prior information, and considerable judgment about the phenomenon of interest and the researcher should do some preliminary investigations to determine the nature of the variation. Intensity sampling will be done once the researcher identifies the variation across the cases (extreme, average and intense) and picks the intense cases from them.[ 40 ]

Deciding the Sample Size

A-priori sample size calculation is not undertaken in the case of qualitative research. Researchers collect the data from as many participants as possible until they reach the point of data saturation. Data saturation or the point of redundancy is the stage where the researcher no longer sees or hears any new information. Data saturation gives the idea that the researcher has captured all possible information about the phenomenon of interest. Since no further information is being uncovered as redundancy is achieved, at this point the data collection can be stopped. The objective here is to get an overall picture of the chronicle of the phenomenon under the study rather than generalization.[ 1 , 7 , 41 ]

Data Collection in Qualitative Research

The various strategies used for data collection in qualitative research includes in-depth interviews (individual or group), focus group discussions (FGDs), participant observation, narrative life history, document analysis, audio materials, videos or video footage, text analysis, and simple observation. Among all these, the three popular methods are the FGDs, one to one in-depth interviews and the participant observation.

FGDs are useful in eliciting data from a group of individuals. They are normally built around a specific topic and are considered as the best approach to gather data on an entire range of responses to a topic.[ 42 Group size in an FGD ranges from 6 to 12. Depending upon the nature of participants, FGDs could be homogeneous or heterogeneous.[ 1 , 14 ] One to one in-depth interviews are best suited to obtain individuals' life histories, lived experiences, perceptions, and views, particularly while exporting topics of sensitive nature. In-depth interviews can be structured, unstructured, or semi-structured. However, semi-structured interviews are widely used in qualitative research. Participant observations are suitable for gathering data regarding naturally occurring behaviors.[ 1 ]

Data Analysis in Qualitative Research

Various strategies are employed by researchers to analyze data in qualitative research. Data analytic strategies differ according to the type of inquiry. A general content analysis approach is described herewith. Data analysis begins by transcription of the interview data. The researcher carefully reads data and gets a sense of the whole. Once the researcher is familiarized with the data, the researcher strives to identify small meaning units called the 'codes.' The codes are then grouped based on their shared concepts to form the primary categories. Based on the relationship between the primary categories, they are then clustered into secondary categories. The next step involves the identification of themes and interpretation to make meaning out of data. In the results section of the manuscript, the researcher describes the key findings/themes that emerged. The themes can be supported by participants' quotes. The analytical framework used should be explained in sufficient detail, and the analytic framework must be well referenced. The study findings are usually represented in a schematic form for better conceptualization.[ 1 , 7 ] Even though the overall analytical process remains the same across different qualitative designs, each design such as phenomenology, ethnography, and grounded theory has design specific analytical procedures, the details of which are out of the scope of this article.

Computer-Assisted Qualitative Data Analysis Software (CAQDAS)

Until recently, qualitative analysis was done either manually or with the help of a spreadsheet application. Currently, there are various software programs available which aid researchers to manage qualitative data. CAQDAS is basically data management tools and cannot analyze the qualitative data as it lacks the ability to think, reflect, and conceptualize. Nonetheless, CAQDAS helps researchers to manage, shape, and make sense of unstructured information. Open Code, MAXQDA, NVivo, Atlas.ti, and Hyper Research are some of the widely used qualitative data analysis software.[ 14 , 43 ]

Reporting Guidelines

Consolidated Criteria for Reporting Qualitative Research (COREQ) is the widely used reporting guideline for qualitative research. This 32-item checklist assists researchers in reporting all the major aspects related to the study. The three major domains of COREQ are the 'research team and reflexivity', 'study design', and 'analysis and findings'.[ 44 , 45 ]

Critical Appraisal of Qualitative Research

Various scales are available to critical appraisal of qualitative research. The widely used one is the Critical Appraisal Skills Program (CASP) Qualitative Checklist developed by CASP network, UK. This 10-item checklist evaluates the quality of the study under areas such as aims, methodology, research design, ethical considerations, data collection, data analysis, and findings.[ 46 ]

Ethical Issues in Qualitative Research

A qualitative study must be undertaken by grounding it in the principles of bioethics such as beneficence, non-maleficence, autonomy, and justice. Protecting the participants is of utmost importance, and the greatest care has to be taken while collecting data from a vulnerable research population. The researcher must respect individuals, families, and communities and must make sure that the participants are not identifiable by their quotations that the researchers include when publishing the data. Consent for audio/video recordings must be obtained. Approval to be in FGDs must be obtained from the participants. Researchers must ensure the confidentiality and anonymity of the transcripts/audio-video records/photographs/other data collected as a part of the study. The researchers must confirm their role as advocates and proceed in the best interest of all participants.[ 42 , 47 , 48 ]

Rigor in Qualitative Research

The demonstration of rigor or quality in the conduct of the study is essential for every research method. However, the criteria used to evaluate the rigor of quantitative studies are not be appropriate for qualitative methods. Lincoln and Guba (1985) first outlined the criteria for evaluating the qualitative research often referred to as “standards of trustworthiness of qualitative research”.[ 49 ] The four components of the criteria are credibility, transferability, dependability, and confirmability.

Credibility refers to confidence in the 'truth value' of the data and its interpretation. It is used to establish that the findings are true, credible and believable. Credibility is similar to the internal validity in quantitative research.[ 1 , 50 , 51 ] The second criterion to establish the trustworthiness of the qualitative research is transferability, Transferability refers to the degree to which the qualitative results are applicability to other settings, population or contexts. This is analogous to the external validity in quantitative research.[ 1 , 50 , 51 ] Lincoln and Guba recommend authors provide enough details so that the users will be able to evaluate the applicability of data in other contexts.[ 49 ] The criterion of dependability refers to the assumption of repeatability or replicability of the study findings and is similar to that of reliability in quantitative research. The dependability question is 'Whether the study findings be repeated of the study is replicated with the same (similar) cohort of participants, data coders, and context?'[ 1 , 50 , 51 ] Confirmability, the fourth criteria is analogous to the objectivity of the study and refers the degree to which the study findings could be confirmed or corroborated by others. To ensure confirmability the data should directly reflect the participants' experiences and not the bias, motivations, or imaginations of the inquirer.[ 1 , 50 , 51 ] Qualitative researchers should ensure that the study is conducted with enough rigor and should report the measures undertaken to enhance the trustworthiness of the study.

Conclusions

Qualitative research studies are being widely acknowledged and recognized in health care practice. This overview illustrates various qualitative methods and shows how these methods can be used to generate evidence that informs clinical practice. Qualitative research helps to understand the patterns of health behaviors, describe illness experiences, design health interventions, and develop healthcare theories. The ultimate strength of the qualitative research approach lies in the richness of the data and the descriptions and depth of exploration it makes. Hence, qualitative methods are considered as the most humanistic and person-centered way of discovering and uncovering thoughts and actions of human beings.

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Top 7 Research Budget Templates with Samples and Examples

Tejas Prasanna

There is no magic formula for creating a research budget. Depending on the kind of research and the potential changes it can bring about, careful planning and allocation is necessary. Budgets can, thus, vary depending on the sponsors, besides other factors. However, every research budget has some essential guidelines.

Research budgets depend on the project deliverables, timelines, and milestones. The resources required also depend on the scope of the projects and sponsors.

Best Templates for Planning Your Research Budget

Designing a research budget is not easy. You will need to consider the resources required and categorize them according to guidelines to ensure funding is not a problem. The categories may include the project’s necessary supplies and equipment and the wages you must pay your assistants. Research budgets are allocated for a year, but you can also plan for a quarter, depending on the project.

At SlideTeam, we have taken care of all these pain points and designed content-ready presentation templates that address each of these points. You save the time, the resources, and the tedium in having to make these presentations from scratch.

What is even better is that each of the templates is 100% editable and customizable. The content-ready nature means you get a starting point and a structure to guide your presentation; the editability feature means you can customize the template to audience profile.

Let’s explore these templates now.

Template 1 - Impact matrix evaluation research solution budget

This PPT Template is the perfect solution for your research budgeting needs. The matrix suggests what solutions are essential with the help of relevant keys that assign priority levels. Priorities go from low to highest influence with increasing importance. They are color-coded, with white being the lowest and red being the highest influence. For instance, Maintain Awareness and Evaluation are red in many cases, as shown in the slide. So, that means that they bear a significant impact on the research budget. Similarly, Strategic and Budget Planning are color-coded white, which means they don't impact the research budget as much in some cases.

With the impact matrix and heatmap, mapping out your research budget will be a breeze.

Impact Matrix Evaluation Research Solution Budget

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Template 2 Half-yearly research and development departmental budget

Research and Development departments can plan the budget required for projects for the two halves of the year using this PPT Template. The presentation template highlights areas for which you will need funding such as research and development, skills, innovation and patenting, and cooperation. You can also list your requirements for each area. For instance, under R&D and skills, you may need funding for medical research, chemical research, etc. Similarly, for innovation and patenting, you may need funding for product innovation and to cover patenting costs. Likewise, cooperation may involve setting up new laboratories and research centers. With this outlined, you can split the budget required for your research project for the two halves of the year.

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Template 3 - Budget Estimate for Research and Development Project

This presentation template for the budget estimate for your research and development project is apt for arriving at the calculation for the four quarters in a year. You can define and assign tasks as per the requirements of the project and allocate a set budget for each. The tasks may involve conducting market research and competitive analysis or be innovative or developmental. In either case, you can use this template to set a fixed budget for each task in the research project.

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Template 4 Clinical Trial Phases with Communication and Budget Research Design for Clinical Trials

Clinical trials involve many phases, and you should let your research associates know about each step. For instance, you could post the information on the company website and provide relevant insights during the pre-trial phase. Similarly, you can offer the welcome letter and training materials during the trial start-up. During the trial, you can send newsletters to your associates, giving them relevant information and other valuable insights. All this requires funding, and you will need to allocate a budget. However, you don't need to worry, as this PPT Preset has you sorted, with dedicated sections for the pre-trial, trial start-up, during-trial, and trial-end phases. It also has communication, insights summary, and budget sections. You can use the budget section in the matrix to allot a budget for each trial phase and each section, including communication and insights.

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Template 5 Market research strategy with budget and area

The PPT Template has all the core elements required for your market research strategy, including the budget and area. This slide lets you list your clients, the items, and when to send them. You can also list background information related to your research, the aim and objectives of the project, the areas covered, and the budget.

The presentation template also provides a dedicated space to list your brands and products and a timeline for completing the research.

Market Research Strategy with Budget and Area

Template 6 - Determine Budget for Psychology Research Proposal One-Pager Sample Example Document

This presentation template is an easy-to-use tool for determining the budget required for psychology research. With this slide, you can allocate a budget for each area, including diagnostic assessment, training, technology and tools, supplies, travel, and workforce. It is a practical, hands-on template with information required to plan the budget for conducting psychological tests and evaluations. Please note that depending on your geography, taxes might or might not deserve a separate column.

Template 7 - Budgeting for Product Launch Market Research

Every company needs to conduct market research before launching a new product. The PowerPoint Presentation that you have here can help you plan the budget required for conducting such market research. It includes necessary information, including business and research objectives, priorities, methodologies, and forecasts. The presentation template also has the metrics required for the research, such as improving customer engagement, introducing new products, and increasing market share. For example, to improve customer engagement, you may be looking to improve marketing approaches and gather customer feedback. The methods you may use include conducting marketing mix studies and tests. Similarly, you may want to optimize your social media posts and profiles and conduct A/B tests when introducing new products. Improving your market share may involve analyzing the competition. You may even use this handy template for conducting market research, estimating, and forecasting budgets.

RESEARCH IS IMPORTANT BUSINESS

You can plan your research and the budget required using these templates. Remember that each new product launch has lots of research behind it. When going for a new launch, don’t just research the products and its uses, but also the markets – particularly, your target audience and how they will benefit from your brands. When allocating the budget for your research, don't forget to note your total resources and try to be as cost-effective as possible. You must consider the expected costs that you may incur and use these templates to work out a research budget that fits within your resources.

FAQs on Research Budget

What should be included in a research budget.

Research budgets should include all direct costs, and facilities and administrative costs (F&A). The facilities and administrative expenses are needed to achieve the primary objectives of the research. The project description should state the proposed budget and serve as a financial expression for the research. The idea is to ensure that the budget is comprehensive.

How do you create a research budget?

You can create a simple research budget by following these steps:

List activities that will help you carry out the research.
Check the rules for getting the funding required.
Check all costs involved.
Lay out the costs using a spreadsheet.
Justify your budget by asking why and for what you need the money and where you got your figures.

What is the role of budget in research?

A budget can provide a detailed and clear picture of the structure of the research project, not to mention that it also lets you know how well it can be managed. The research project budget usually lets you see whether it will go according to plan and if it is feasible. So, it must be complete and reasonable.

What is the average budget for a research project?

The budget for a research project depends on the type of research and the proposed difference it could make to a field of study. For instance, the average budget for a market research project may vary between $20,000 and $50,000. Similarly, larger scientific research projects may cost millions or even billions of dollars, as in pharmaceuticals.

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Research Budget

Research is highly necessary for a business simply because it helps the company understand the customers, competitors, and the market, in general. The data that the project’s processes bring can make way for the development of company operations. However, all these benefits do not come cheap. Most companies, especially the startups, would even submit proposals to request grants from federal agencies, loans from banks, and investments from other fund sources. To successfully acquire financial assistance for their quantitative or qualitative research , it is necessary to produce a research budget document. If by any chance, you are planning to create such a document, our article and variety of examples can assist you! Check them out below!

11+ Research Budget Examples

1. research budget template.

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10. Simple Research Budget Template

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What Is a Research Budget?

A research budget is the breakdown of the estimated income and expenses of a certain research project. According to MyMoneyCoach, budgeting lets individuals and organizations ascertain whether the financial resources are enough to complete a project . Additionally, if the said resources fall short, the process will help them prioritize the much-needed things or activities. Often, people use the term budgets for estimates . Unarguably, most of their elements are alike. The only difference is that budgets highlight how much money is up for spending. At the same time, estimates are predictions of how much money is needed to buy certain things or perform certain activities.

Research: Expensive or Not?

Some entrepreneurs do not know how advantageous research is for their businesses. Upon hearing about business research, the most common question that comes to their mind is whether such an undertaking is expensive or not. Sad to say, the answer is indefinite because its cost will vary depending on your expertise about the subject.

Firms who are not confident enough of their knowledge and experience in business research can hire research companies that can do the job for them. Doing so will approximately cost them USD 1,500 to $30,000, depending on how big the job is. On the contrary, corporate entities who are knowledgeable about the idea of business research can do it by themselves with a little guidance of online sources and other sorts of reference. The cost for it can go down from USD 100 up to USD 5,000.

How To Create a Research Budget

Considering that budgeting involves numbers and figures, you have to be delicate not just to them but also to the itemized entries. Moreover, each of its sections has to comply with the standards to ensure its completeness. By our own research, we are confident that our outline of the necessary guidelines below can help you in making your research budget without any hassle.

1. Describe Research Goals and Objectives

Generally, the research’s main function is to help improve an organization’s workplace operation and the company’s market standing. To effectively set and acquire the necessities for the undertaking, you need to have a better understanding of its specific goals and objectives . Hence, you have to describe them first and foremost.

2. Set the Research Methodology

There are many ways to gather and interpret data for your research. Each of them requires specific materials and equipment, which obviously have a monetary value. Most researchers commonly utilize participant observation, survey methodology , in-person interviews , focus groups, experimental research , secondary data analysis, and mixed methods as their techniques.

3. Specify Target Audience

The target audience is a good basis for your budget . Its volume and demographic can determine how much money you will need for the provision of research materials, such as survey questionnaires and survey forms . For example, if you’re targeting an audience of 10 to 15 people aged 50 to 60, the cost is surely expensive. Most of these people are probably in a nursing home. Aside from preparing them tokens for their participation, you also have to spend some dimes getting into the nursing home, like transportation and the creation of permission slips .

4. Calculate Income

After specifying your target audience, calculate your research’s overall income. Include in your calculations the allotment of your research’s financial assistance. Also, you have to indicate where these funds come from. The total income will be the very foundation of your budget .

5. Reckon Expenditures

Now that you have your income already set, create a list of all the items that you need to spend on. With your income as your basis, distribute the funds according to your priorities to ensure the inclusion of important things or activities, while delaying or eliminating the unnecessary ones.

Once you have successfully set every detail, don’t forget to review each of them one more time. With money at stake, misspellings, miscalculations, and other faults should have no room in your budget . By reviewing your budget before finalizing, you allow yourself to make your data accurate, which is a very crucial quality for research.

What do you mean by the direct and indirect costs of budgeting?

Direct costs refer to the expenses to produce goods or provide services, while indirect costs describe the necessary expenditures for the continuity of business operations.

What are some of the biggest disadvantages of business research?

1. Just like any other type of research, business research is time-consuming.

2. Due to the fast-changing markets, the results of business research can easily become out of date.

3. The business research’s respondents have chances of becoming biased, putting your entire project at risk of having inaccurate information.

What are the phases of budgeting?

Budgeting has five phases. They include preparation and formulation, approval, execution, revision, and control.

American filmmaker, anthropologist, and author Zora Neale Hurston once said, “Research is formalized curiosity. It is poking and prying with a purpose”, and she is right. Through it, we unravel things we never knew we had, whether they’re good news or bad ones. Either way, the discovery of these things can lead to improvement. Funding research is, absolutely, a good idea. However, businesses can only give so much. Some don’t even have anything to offer at all, risking themselves to rely on loans. Because of these facts, researchers have to learn the process of budgeting, as well as their advantages and disadvantages.

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18 Qualitative Research Examples

qualitative research examples and definition, explained below

Qualitative research is an approach to scientific research that involves using observation to gather and analyze non-numerical, in-depth, and well-contextualized datasets.

It serves as an integral part of academic, professional, and even daily decision-making processes (Baxter & Jack, 2008).

Methods of qualitative research encompass a wide range of techniques, from in-depth personal encounters, like ethnographies (studying cultures in-depth) and autoethnographies (examining one’s own cultural experiences), to collection of diverse perspectives on topics through methods like interviewing focus groups (gatherings of individuals to discuss specific topics).

Qualitative Research Examples

1. ethnography.

Definition: Ethnography is a qualitative research design aimed at exploring cultural phenomena. Rooted in the discipline of anthropology , this research approach investigates the social interactions, behaviors, and perceptions within groups, communities, or organizations.

Ethnographic research is characterized by extended observation of the group, often through direct participation, in the participants’ environment. An ethnographer typically lives with the study group for extended periods, intricately observing their everyday lives (Khan, 2014).

It aims to present a complete, detailed and accurate picture of the observed social life, rituals, symbols, and values from the perspective of the study group.

Example of Ethnographic Research

Title: “ The Everyday Lives of Men: An Ethnographic Investigation of Young Adult Male Identity “

Citation: Evans, J. (2010). The Everyday Lives of Men: An Ethnographic Investigation of Young Adult Male Identity. Peter Lang.

Overview: This study by Evans (2010) provides a rich narrative of young adult male identity as experienced in everyday life. The author immersed himself among a group of young men, participating in their activities and cultivating a deep understanding of their lifestyle, values, and motivations. This research exemplified the ethnographic approach, revealing complexities of the subjects’ identities and societal roles, which could hardly be accessed through other qualitative research designs.

Read my Full Guide on Ethnography Here

2. Autoethnography

Definition: Autoethnography is an approach to qualitative research where the researcher uses their own personal experiences to extend the understanding of a certain group, culture, or setting. Essentially, it allows for the exploration of self within the context of social phenomena.

Unlike traditional ethnography, which focuses on the study of others, autoethnography turns the ethnographic gaze inward, allowing the researcher to use their personal experiences within a culture as rich qualitative data (Durham, 2019).

The objective is to critically appraise one’s personal experiences as they navigate and negotiate cultural, political, and social meanings. The researcher becomes both the observer and the participant, intertwining personal and cultural experiences in the research.

Example of Autoethnographic Research

Title: “ A Day In The Life Of An NHS Nurse “

Citation: Osben, J. (2019). A day in the life of a NHS nurse in 21st Century Britain: An auto-ethnography. The Journal of Autoethnography for Health & Social Care. 1(1).

Overview: This study presents an autoethnography of a day in the life of an NHS nurse (who, of course, is also the researcher). The author uses the research to achieve reflexivity, with the researcher concluding: “Scrutinising my practice and situating it within a wider contextual backdrop has compelled me to significantly increase my level of scrutiny into the driving forces that influence my practice.”

Read my Full Guide on Autoethnography Here

3. Semi-Structured Interviews

Definition: Semi-structured interviews stand as one of the most frequently used methods in qualitative research. These interviews are planned and utilize a set of pre-established questions, but also allow for the interviewer to steer the conversation in other directions based on the responses given by the interviewee.

In semi-structured interviews, the interviewer prepares a guide that outlines the focal points of the discussion. However, the interview is flexible, allowing for more in-depth probing if the interviewer deems it necessary (Qu, & Dumay, 2011). This style of interviewing strikes a balance between structured ones which might limit the discussion, and unstructured ones, which could lack focus.

Example of Semi-Structured Interview Research

Title: “ Factors influencing adherence to cancer treatment in older adults with cancer: a systematic review “

Citation: Puts, M., et al. (2014). Factors influencing adherence to cancer treatment in older adults with cancer: a systematic review. Annals of oncology, 25 (3), 564-577.

Overview: Puts et al. (2014) executed an extensive systematic review in which they conducted semi-structured interviews with older adults suffering from cancer to examine the factors influencing their adherence to cancer treatment. The findings suggested that various factors, including side effects, faith in healthcare professionals, and social support have substantial impacts on treatment adherence. This research demonstrates how semi-structured interviews can provide rich and profound insights into the subjective experiences of patients.

4. Focus Groups

Definition: Focus groups are a qualitative research method that involves organized discussion with a selected group of individuals to gain their perspectives on a specific concept, product, or phenomenon. Typically, these discussions are guided by a moderator.

During a focus group session, the moderator has a list of questions or topics to discuss, and participants are encouraged to interact with each other (Morgan, 2010). This interactivity can stimulate more information and provide a broader understanding of the issue under scrutiny. The open format allows participants to ask questions and respond freely, offering invaluable insights into attitudes, experiences, and group norms.

Example of Focus Group Research

Title: “ Perspectives of Older Adults on Aging Well: A Focus Group Study “

Citation: Halaweh, H., Dahlin-Ivanoff, S., Svantesson, U., & Willén, C. (2018). Perspectives of older adults on aging well: a focus group study. Journal of aging research .

Overview: This study aimed to explore what older adults (aged 60 years and older) perceived to be ‘aging well’. The researchers identified three major themes from their focus group interviews: a sense of well-being, having good physical health, and preserving good mental health. The findings highlight the importance of factors such as positive emotions, social engagement, physical activity, healthy eating habits, and maintaining independence in promoting aging well among older adults.

5. Phenomenology

Definition: Phenomenology, a qualitative research method, involves the examination of lived experiences to gain an in-depth understanding of the essence or underlying meanings of a phenomenon.

The focus of phenomenology lies in meticulously describing participants’ conscious experiences related to the chosen phenomenon (Padilla-Díaz, 2015).

In a phenomenological study, the researcher collects detailed, first-hand perspectives of the participants, typically via in-depth interviews, and then uses various strategies to interpret and structure these experiences, ultimately revealing essential themes (Creswell, 2013). This approach focuses on the perspective of individuals experiencing the phenomenon, seeking to explore, clarify, and understand the meanings they attach to those experiences.

Example of Phenomenology Research

Title: “ A phenomenological approach to experiences with technology: current state, promise, and future directions for research ”

Citation: Cilesiz, S. (2011). A phenomenological approach to experiences with technology: Current state, promise, and future directions for research. Educational Technology Research and Development, 59 , 487-510.

Overview: A phenomenological approach to experiences with technology by Sebnem Cilesiz represents a good starting point for formulating a phenomenological study. With its focus on the ‘essence of experience’, this piece presents methodological, reliability, validity, and data analysis techniques that phenomenologists use to explain how people experience technology in their everyday lives.

6. Grounded Theory

Definition: Grounded theory is a systematic methodology in qualitative research that typically applies inductive reasoning . The primary aim is to develop a theoretical explanation or framework for a process, action, or interaction grounded in, and arising from, empirical data (Birks & Mills, 2015).

In grounded theory, data collection and analysis work together in a recursive process. The researcher collects data, analyses it, and then collects more data based on the evolving understanding of the research context. This ongoing process continues until a comprehensive theory that represents the data and the associated phenomenon emerges – a point known as theoretical saturation (Charmaz, 2014).

Example of Grounded Theory Research

Title: “ Student Engagement in High School Classrooms from the Perspective of Flow Theory “

Citation: Shernoff, D. J., Csikszentmihalyi, M., Shneider, B., & Shernoff, E. S. (2003). Student engagement in high school classrooms from the perspective of flow theory. School Psychology Quarterly, 18 (2), 158–176.

Overview: Shernoff and colleagues (2003) used grounded theory to explore student engagement in high school classrooms. The researchers collected data through student self-reports, interviews, and observations. Key findings revealed that academic challenge, student autonomy, and teacher support emerged as the most significant factors influencing students’ engagement, demonstrating how grounded theory can illuminate complex dynamics within real-world contexts.

7. Narrative Research

Definition: Narrative research is a qualitative research method dedicated to storytelling and understanding how individuals experience the world. It focuses on studying an individual’s life and experiences as narrated by that individual (Polkinghorne, 2013).

In narrative research, the researcher collects data through methods such as interviews, observations , and document analysis. The emphasis is on the stories told by participants – narratives that reflect their experiences, thoughts, and feelings.

These stories are then interpreted by the researcher, who attempts to understand the meaning the participant attributes to these experiences (Josselson, 2011).

Example of Narrative Research

Title: “Narrative Structures and the Language of the Self”

Citation: McAdams, D. P., Josselson, R., & Lieblich, A. (2006). Identity and story: Creating self in narrative . American Psychological Association.

Overview: In this innovative study, McAdams et al. (2006) employed narrative research to explore how individuals construct their identities through the stories they tell about themselves. By examining personal narratives, the researchers discerned patterns associated with characters, motivations, conflicts, and resolutions, contributing valuable insights about the relationship between narrative and individual identity.

8. Case Study Research

Definition: Case study research is a qualitative research method that involves an in-depth investigation of a single instance or event: a case. These ‘cases’ can range from individuals, groups, or entities to specific projects, programs, or strategies (Creswell, 2013).

The case study method typically uses multiple sources of information for comprehensive contextual analysis. It aims to explore and understand the complexity and uniqueness of a particular case in a real-world context (Merriam & Tisdell, 2015). This investigation could result in a detailed description of the case, a process for its development, or an exploration of a related issue or problem.

Example of Case Study Research

Title: “ Teacher’s Role in Fostering Preschoolers’ Computational Thinking: An Exploratory Case Study “

Citation: Wang, X. C., Choi, Y., Benson, K., Eggleston, C., & Weber, D. (2021). Teacher’s role in fostering preschoolers’ computational thinking: An exploratory case study. Early Education and Development , 32 (1), 26-48.

Overview: This study investigates the role of teachers in promoting computational thinking skills in preschoolers. The study utilized a qualitative case study methodology to examine the computational thinking scaffolding strategies employed by a teacher interacting with three preschoolers in a small group setting. The findings highlight the importance of teachers’ guidance in fostering computational thinking practices such as problem reformulation/decomposition, systematic testing, and debugging.

Read about some Famous Case Studies in Psychology Here

9. Participant Observation

Definition: Participant observation has the researcher immerse themselves in a group or community setting to observe the behavior of its members. It is similar to ethnography, but generally, the researcher isn’t embedded for a long period of time.

The researcher, being a participant, engages in daily activities, interactions, and events as a way of conducting a detailed study of a particular social phenomenon (Kawulich, 2005).

The method involves long-term engagement in the field, maintaining detailed records of observed events, informal interviews, direct participation, and reflexivity. This approach allows for a holistic view of the participants’ lived experiences, behaviours, and interactions within their everyday environment (Dewalt, 2011).

Example of Participant Observation Research

Title: Conflict in the boardroom: a participant observation study of supervisory board dynamics

Citation: Heemskerk, E. M., Heemskerk, K., & Wats, M. M. (2017). Conflict in the boardroom: a participant observation study of supervisory board dynamics. Journal of Management & Governance , 21 , 233-263.

Overview: This study examined how conflicts within corporate boards affect their performance. The researchers used a participant observation method, where they actively engaged with 11 supervisory boards and observed their dynamics. They found that having a shared understanding of the board’s role called a common framework, improved performance by reducing relationship conflicts, encouraging task conflicts, and minimizing conflicts between the board and CEO.

10. Non-Participant Observation

Definition: Non-participant observation is a qualitative research method in which the researcher observes the phenomena of interest without actively participating in the situation, setting, or community being studied.

This method allows the researcher to maintain a position of distance, as they are solely an observer and not a participant in the activities being observed (Kawulich, 2005).

During non-participant observation, the researcher typically records field notes on the actions, interactions, and behaviors observed , focusing on specific aspects of the situation deemed relevant to the research question.

This could include verbal and nonverbal communication , activities, interactions, and environmental contexts (Angrosino, 2007). They could also use video or audio recordings or other methods to collect data.

Example of Non-Participant Observation Research

Title: Mental Health Nurses’ attitudes towards mental illness and recovery-oriented practice in acute inpatient psychiatric units: A non-participant observation study

Citation: Sreeram, A., Cross, W. M., & Townsin, L. (2023). Mental Health Nurses’ attitudes towards mental illness and recovery‐oriented practice in acute inpatient psychiatric units: A non‐participant observation study. International Journal of Mental Health Nursing .

Overview: This study investigated the attitudes of mental health nurses towards mental illness and recovery-oriented practice in acute inpatient psychiatric units. The researchers used a non-participant observation method, meaning they observed the nurses without directly participating in their activities. The findings shed light on the nurses’ perspectives and behaviors, providing valuable insights into their attitudes toward mental health and recovery-focused care in these settings.

11. Content Analysis

Definition: Content Analysis involves scrutinizing textual, visual, or spoken content to categorize and quantify information. The goal is to identify patterns, themes, biases, or other characteristics (Hsieh & Shannon, 2005).

Content Analysis is widely used in various disciplines for a multitude of purposes. Researchers typically use this method to distill large amounts of unstructured data, like interview transcripts, newspaper articles, or social media posts, into manageable and meaningful chunks.

When wielded appropriately, Content Analysis can illuminate the density and frequency of certain themes within a dataset, provide insights into how specific terms or concepts are applied contextually, and offer inferences about the meanings of their content and use (Duriau, Reger, & Pfarrer, 2007).

Example of Content Analysis

Title: Framing European politics: A content analysis of press and television news .

Citation: Semetko, H. A., & Valkenburg, P. M. (2000). Framing European politics: A content analysis of press and television news. Journal of Communication, 50 (2), 93-109.

Overview: This study analyzed press and television news articles about European politics using a method called content analysis. The researchers examined the prevalence of different “frames” in the news, which are ways of presenting information to shape audience perceptions. They found that the most common frames were attribution of responsibility, conflict, economic consequences, human interest, and morality.

Read my Full Guide on Content Analysis Here

12. Discourse Analysis

Definition: Discourse Analysis, a qualitative research method, interprets the meanings, functions, and coherence of certain languages in context.

Discourse analysis is typically understood through social constructionism, critical theory , and poststructuralism and used for understanding how language constructs social concepts (Cheek, 2004).

Discourse Analysis offers great breadth, providing tools to examine spoken or written language, often beyond the level of the sentence. It enables researchers to scrutinize how text and talk articulate social and political interactions and hierarchies.

Insight can be garnered from different conversations, institutional text, and media coverage to understand how topics are addressed or framed within a specific social context (Jorgensen & Phillips, 2002).

Example of Discourse Analysis

Title: The construction of teacher identities in educational policy documents: A critical discourse analysis

Citation: Thomas, S. (2005). The construction of teacher identities in educational policy documents: A critical discourse analysis. Critical Studies in Education, 46 (2), 25-44.

Overview: The author examines how an education policy in one state of Australia positions teacher professionalism and teacher identities. While there are competing discourses about professional identity, the policy framework privileges a narrative that frames the ‘good’ teacher as one that accepts ever-tightening control and regulation over their professional practice.

Read my Full Guide on Discourse Analysis Here

13. Action Research

Definition: Action Research is a qualitative research technique that is employed to bring about change while simultaneously studying the process and results of that change.

This method involves a cyclical process of fact-finding, action, evaluation, and reflection (Greenwood & Levin, 2016).

Typically, Action Research is used in the fields of education, social sciences , and community development. The process isn’t just about resolving an issue but also developing knowledge that can be used in the future to address similar or related problems.

The researcher plays an active role in the research process, which is normally broken down into four steps:

developing a plan to improve what is currently being done
implementing the plan
observing the effects of the plan, and
reflecting upon these effects (Smith, 2010).

Example of Action Research

Title: Using Digital Sandbox Gaming to Improve Creativity Within Boys’ Writing

Citation: Ellison, M., & Drew, C. (2020). Using digital sandbox gaming to improve creativity within boys’ writing. Journal of Research in Childhood Education , 34 (2), 277-287.

Overview: This was a research study one of my research students completed in his own classroom under my supervision. He implemented a digital game-based approach to literacy teaching with boys and interviewed his students to see if the use of games as stimuli for storytelling helped draw them into the learning experience.

Read my Full Guide on Action Research Here

14. Semiotic Analysis

Definition: Semiotic Analysis is a qualitative method of research that interprets signs and symbols in communication to understand sociocultural phenomena. It stems from semiotics, the study of signs and symbols and their use or interpretation (Chandler, 2017).

In a Semiotic Analysis, signs (anything that represents something else) are interpreted based on their significance and the role they play in representing ideas.

This type of research often involves the examination of images, sounds, and word choice to uncover the embedded sociocultural meanings. For example, an advertisement for a car might be studied to learn more about societal views on masculinity or success (Berger, 2010).

Example of Semiotic Research

Title: Shielding the learned body: a semiotic analysis of school badges in New South Wales, Australia

Citation: Symes, C. (2023). Shielding the learned body: a semiotic analysis of school badges in New South Wales, Australia. Semiotica , 2023 (250), 167-190.

Overview: This study examines school badges in New South Wales, Australia, and explores their significance through a semiotic analysis. The badges, which are part of the school’s visual identity, are seen as symbolic representations that convey meanings. The analysis reveals that these badges often draw on heraldic models, incorporating elements like colors, names, motifs, and mottoes that reflect local culture and history, thus connecting students to their national identity. Additionally, the study highlights how some schools have shifted from traditional badges to modern logos and slogans, reflecting a more business-oriented approach.

15. Qualitative Longitudinal Studies

Definition: Qualitative Longitudinal Studies are a research method that involves repeated observation of the same items over an extended period of time.

Unlike a snapshot perspective, this method aims to piece together individual histories and examine the influences and impacts of change (Neale, 2019).

Qualitative Longitudinal Studies provide an in-depth understanding of change as it happens, including changes in people’s lives, their perceptions, and their behaviors.

For instance, this method could be used to follow a group of students through their schooling years to understand the evolution of their learning behaviors and attitudes towards education (Saldaña, 2003).

Example of Qualitative Longitudinal Research

Title: Patient and caregiver perspectives on managing pain in advanced cancer: a qualitative longitudinal study

Citation: Hackett, J., Godfrey, M., & Bennett, M. I. (2016). Patient and caregiver perspectives on managing pain in advanced cancer: a qualitative longitudinal study. Palliative medicine , 30 (8), 711-719.

Overview: This article examines how patients and their caregivers manage pain in advanced cancer through a qualitative longitudinal study. The researchers interviewed patients and caregivers at two different time points and collected audio diaries to gain insights into their experiences, making this study longitudinal.

Read my Full Guide on Longitudinal Research Here

16. Open-Ended Surveys

Definition: Open-Ended Surveys are a type of qualitative research method where respondents provide answers in their own words. Unlike closed-ended surveys, which limit responses to predefined options, open-ended surveys allow for expansive and unsolicited explanations (Fink, 2013).

Open-ended surveys are commonly used in a range of fields, from market research to social studies. As they don’t force respondents into predefined response categories, these surveys help to draw out rich, detailed data that might uncover new variables or ideas.

For example, an open-ended survey might be used to understand customer opinions about a new product or service (Lavrakas, 2008).

Contrast this to a quantitative closed-ended survey, like a Likert scale, which could theoretically help us to come up with generalizable data but is restricted by the questions on the questionnaire, meaning new and surprising data and insights can’t emerge from the survey results in the same way.

Example of Open-Ended Survey Research

Title: Advantages and disadvantages of technology in relationships: Findings from an open-ended survey

Citation: Hertlein, K. M., & Ancheta, K. (2014). Advantages and disadvantages of technology in relationships: Findings from an open-ended survey. The Qualitative Report , 19 (11), 1-11.

Overview: This article examines the advantages and disadvantages of technology in couple relationships through an open-ended survey method. Researchers analyzed responses from 410 undergraduate students to understand how technology affects relationships. They found that technology can contribute to relationship development, management, and enhancement, but it can also create challenges such as distancing, lack of clarity, and impaired trust.

17. Naturalistic Observation

Definition: Naturalistic Observation is a type of qualitative research method that involves observing individuals in their natural environments without interference or manipulation by the researcher.

Naturalistic observation is often used when conducting research on behaviors that cannot be controlled or manipulated in a laboratory setting (Kawulich, 2005).

It is frequently used in the fields of psychology, sociology, and anthropology. For instance, to understand the social dynamics in a schoolyard, a researcher could spend time observing the children interact during their recess, noting their behaviors, interactions, and conflicts without imposing their presence on the children’s activities (Forsyth, 2010).

Example of Naturalistic Observation Research

Title: Dispositional mindfulness in daily life: A naturalistic observation study

Citation: Kaplan, D. M., Raison, C. L., Milek, A., Tackman, A. M., Pace, T. W., & Mehl, M. R. (2018). Dispositional mindfulness in daily life: A naturalistic observation study. PloS one , 13 (11), e0206029.

Overview: In this study, researchers conducted two studies: one exploring assumptions about mindfulness and behavior, and the other using naturalistic observation to examine actual behavioral manifestations of mindfulness. They found that trait mindfulness is associated with a heightened perceptual focus in conversations, suggesting that being mindful is expressed primarily through sharpened attention rather than observable behavioral or social differences.

Read my Full Guide on Naturalistic Observation Here

18. Photo-Elicitation

Definition: Photo-elicitation utilizes photographs as a means to trigger discussions and evoke responses during interviews. This strategy aids in bringing out topics of discussion that may not emerge through verbal prompting alone (Harper, 2002).

Traditionally, Photo-Elicitation has been useful in various fields such as education, psychology, and sociology. The method involves the researcher or participants taking photographs, which are then used as prompts for discussion.

For instance, a researcher studying urban environmental issues might invite participants to photograph areas in their neighborhood that they perceive as environmentally detrimental, and then discuss each photo in depth (Clark-Ibáñez, 2004).

Example of Photo-Elicitation Research

Title: Early adolescent food routines: A photo-elicitation study

Citation: Green, E. M., Spivak, C., & Dollahite, J. S. (2021). Early adolescent food routines: A photo-elicitation study. Appetite, 158 .

Overview: This study focused on early adolescents (ages 10-14) and their food routines. Researchers conducted in-depth interviews using a photo-elicitation approach, where participants took photos related to their food choices and experiences. Through analysis, the study identified various routines and three main themes: family, settings, and meals/foods consumed, revealing how early adolescents view and are influenced by their eating routines.

Features of Qualitative Research

Qualitative research is a research method focused on understanding the meaning individuals or groups attribute to a social or human problem (Creswell, 2013).

Some key features of this method include:

Naturalistic Inquiry: Qualitative research happens in the natural setting of the phenomena, aiming to understand “real world” situations (Patton, 2015). This immersion in the field or subject allows the researcher to gather a deep understanding of the subject matter.
Emphasis on Process: It aims to understand how events unfold over time rather than focusing solely on outcomes (Merriam & Tisdell, 2015). The process-oriented nature of qualitative research allows researchers to investigate sequences, timing, and changes.
Interpretive: It involves interpreting and making sense of phenomena in terms of the meanings people assign to them (Denzin & Lincoln, 2011). This interpretive element allows for rich, nuanced insights into human behavior and experiences.
Holistic Perspective: Qualitative research seeks to understand the whole phenomenon rather than focusing on individual components (Creswell, 2013). It emphasizes the complex interplay of factors, providing a richer, more nuanced view of the research subject.
Prioritizes Depth over Breadth: Qualitative research favors depth of understanding over breadth, typically involving a smaller but more focused sample size (Hennink, Hutter, & Bailey, 2020). This enables detailed exploration of the phenomena of interest, often leading to rich and complex data.

Qualitative vs Quantitative Research

Qualitative research centers on exploring and understanding the meaning individuals or groups attribute to a social or human problem (Creswell, 2013).

It involves an in-depth approach to the subject matter, aiming to capture the richness and complexity of human experience.

Examples include conducting interviews, observing behaviors, or analyzing text and images.

There are strengths inherent in this approach. In its focus on understanding subjective experiences and interpretations, qualitative research can yield rich and detailed data that quantitative research may overlook (Denzin & Lincoln, 2011).

Additionally, qualitative research is adaptive, allowing the researcher to respond to new directions and insights as they emerge during the research process.

However, there are also limitations. Because of the interpretive nature of this research, findings may not be generalizable to a broader population (Marshall & Rossman, 2014). Well-designed quantitative research, on the other hand, can be generalizable.

Moreover, the reliability and validity of qualitative data can be challenging to establish due to its subjective nature, unlike quantitative research, which is ideally more objective.

Compare Qualitative and Quantitative Research Methodologies in This Guide Here

In conclusion, qualitative research methods provide distinctive ways to explore social phenomena and understand nuances that quantitative approaches might overlook. Each method, from Ethnography to Photo-Elicitation, presents its strengths and weaknesses but they all offer valuable means of investigating complex, real-world situations. The goal for the researcher is not to find a definitive tool, but to employ the method best suited for their research questions and the context at hand (Almalki, 2016). Above all, these methods underscore the richness of human experience and deepen our understanding of the world around us.

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Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 5 Top Tips for Succeeding at University
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 50 Durable Goods Examples
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 100 Consumer Goods Examples
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 30 Globalization Pros and Cons