quantitative research proposal guidelines

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A Practical Guide to Writing Quantitative and Qualitative Research Questions and Hypotheses in Scholarly Articles

Edward barroga.

1 Department of General Education, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan.

Glafera Janet Matanguihan

2 Department of Biological Sciences, Messiah University, Mechanicsburg, PA, USA.

The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. The development of research questions is a process based on knowledge of current trends, cutting-edge studies, and technological advances in the research field. Excellent research questions are focused and require a comprehensive literature search and in-depth understanding of the problem being investigated. Initially, research questions may be written as descriptive questions which could be developed into inferential questions. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. Studies developed from good research questions and hypotheses will have trustworthy outcomes with wide-ranging social and health implications.

INTRODUCTION

Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses. 1 , 2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results. 3 , 4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the inception of novel studies and the ethical testing of ideas. 5 , 6

It is crucial to have knowledge of both quantitative and qualitative research 2 as both types of research involve writing research questions and hypotheses. 7 However, these crucial elements of research are sometimes overlooked; if not overlooked, then framed without the forethought and meticulous attention it needs. Planning and careful consideration are needed when developing quantitative or qualitative research, particularly when conceptualizing research questions and hypotheses. 4

There is a continuing need to support researchers in the creation of innovative research questions and hypotheses, as well as for journal articles that carefully review these elements. 1 When research questions and hypotheses are not carefully thought of, unethical studies and poor outcomes usually ensue. Carefully formulated research questions and hypotheses define well-founded objectives, which in turn determine the appropriate design, course, and outcome of the study. This article then aims to discuss in detail the various aspects of crafting research questions and hypotheses, with the goal of guiding researchers as they develop their own. Examples from the authors and peer-reviewed scientific articles in the healthcare field are provided to illustrate key points.

DEFINITIONS AND RELATIONSHIP OF RESEARCH QUESTIONS AND HYPOTHESES

A research question is what a study aims to answer after data analysis and interpretation. The answer is written in length in the discussion section of the paper. Thus, the research question gives a preview of the different parts and variables of the study meant to address the problem posed in the research question. 1 An excellent research question clarifies the research writing while facilitating understanding of the research topic, objective, scope, and limitations of the study. 5

On the other hand, a research hypothesis is an educated statement of an expected outcome. This statement is based on background research and current knowledge. 8 , 9 The research hypothesis makes a specific prediction about a new phenomenon 10 or a formal statement on the expected relationship between an independent variable and a dependent variable. 3 , 11 It provides a tentative answer to the research question to be tested or explored. 4

Hypotheses employ reasoning to predict a theory-based outcome. 10 These can also be developed from theories by focusing on components of theories that have not yet been observed. 10 The validity of hypotheses is often based on the testability of the prediction made in a reproducible experiment. 8

Conversely, hypotheses can also be rephrased as research questions. Several hypotheses based on existing theories and knowledge may be needed to answer a research question. Developing ethical research questions and hypotheses creates a research design that has logical relationships among variables. These relationships serve as a solid foundation for the conduct of the study. 4 , 11 Haphazardly constructed research questions can result in poorly formulated hypotheses and improper study designs, leading to unreliable results. Thus, the formulations of relevant research questions and verifiable hypotheses are crucial when beginning research. 12

CHARACTERISTICS OF GOOD RESEARCH QUESTIONS AND HYPOTHESES

Excellent research questions are specific and focused. These integrate collective data and observations to confirm or refute the subsequent hypotheses. Well-constructed hypotheses are based on previous reports and verify the research context. These are realistic, in-depth, sufficiently complex, and reproducible. More importantly, these hypotheses can be addressed and tested. 13

There are several characteristics of well-developed hypotheses. Good hypotheses are 1) empirically testable 7 , 10 , 11 , 13 ; 2) backed by preliminary evidence 9 ; 3) testable by ethical research 7 , 9 ; 4) based on original ideas 9 ; 5) have evidenced-based logical reasoning 10 ; and 6) can be predicted. 11 Good hypotheses can infer ethical and positive implications, indicating the presence of a relationship or effect relevant to the research theme. 7 , 11 These are initially developed from a general theory and branch into specific hypotheses by deductive reasoning. In the absence of a theory to base the hypotheses, inductive reasoning based on specific observations or findings form more general hypotheses. 10

TYPES OF RESEARCH QUESTIONS AND HYPOTHESES

Research questions and hypotheses are developed according to the type of research, which can be broadly classified into quantitative and qualitative research. We provide a summary of the types of research questions and hypotheses under quantitative and qualitative research categories in Table 1 .

Research questions in quantitative research

In quantitative research, research questions inquire about the relationships among variables being investigated and are usually framed at the start of the study. These are precise and typically linked to the subject population, dependent and independent variables, and research design. 1 Research questions may also attempt to describe the behavior of a population in relation to one or more variables, or describe the characteristics of variables to be measured ( descriptive research questions ). 1 , 5 , 14 These questions may also aim to discover differences between groups within the context of an outcome variable ( comparative research questions ), 1 , 5 , 14 or elucidate trends and interactions among variables ( relationship research questions ). 1 , 5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2 .

Hypotheses in quantitative research

In quantitative research, hypotheses predict the expected relationships among variables. 15 Relationships among variables that can be predicted include 1) between a single dependent variable and a single independent variable ( simple hypothesis ) or 2) between two or more independent and dependent variables ( complex hypothesis ). 4 , 11 Hypotheses may also specify the expected direction to be followed and imply an intellectual commitment to a particular outcome ( directional hypothesis ) 4 . On the other hand, hypotheses may not predict the exact direction and are used in the absence of a theory, or when findings contradict previous studies ( non-directional hypothesis ). 4 In addition, hypotheses can 1) define interdependency between variables ( associative hypothesis ), 4 2) propose an effect on the dependent variable from manipulation of the independent variable ( causal hypothesis ), 4 3) state a negative relationship between two variables ( null hypothesis ), 4 , 11 , 15 4) replace the working hypothesis if rejected ( alternative hypothesis ), 15 explain the relationship of phenomena to possibly generate a theory ( working hypothesis ), 11 5) involve quantifiable variables that can be tested statistically ( statistical hypothesis ), 11 6) or express a relationship whose interlinks can be verified logically ( logical hypothesis ). 11 We provide examples of simple, complex, directional, non-directional, associative, causal, null, alternative, working, statistical, and logical hypotheses in quantitative research, as well as the definition of quantitative hypothesis-testing research in Table 3 .

Research questions in qualitative research

Unlike research questions in quantitative research, research questions in qualitative research are usually continuously reviewed and reformulated. The central question and associated subquestions are stated more than the hypotheses. 15 The central question broadly explores a complex set of factors surrounding the central phenomenon, aiming to present the varied perspectives of participants. 15

There are varied goals for which qualitative research questions are developed. These questions can function in several ways, such as to 1) identify and describe existing conditions ( contextual research question s); 2) describe a phenomenon ( descriptive research questions ); 3) assess the effectiveness of existing methods, protocols, theories, or procedures ( evaluation research questions ); 4) examine a phenomenon or analyze the reasons or relationships between subjects or phenomena ( explanatory research questions ); or 5) focus on unknown aspects of a particular topic ( exploratory research questions ). 5 In addition, some qualitative research questions provide new ideas for the development of theories and actions ( generative research questions ) or advance specific ideologies of a position ( ideological research questions ). 1 Other qualitative research questions may build on a body of existing literature and become working guidelines ( ethnographic research questions ). Research questions may also be broadly stated without specific reference to the existing literature or a typology of questions ( phenomenological research questions ), may be directed towards generating a theory of some process ( grounded theory questions ), or may address a description of the case and the emerging themes ( qualitative case study questions ). 15 We provide examples of contextual, descriptive, evaluation, explanatory, exploratory, generative, ideological, ethnographic, phenomenological, grounded theory, and qualitative case study research questions in qualitative research in Table 4 , and the definition of qualitative hypothesis-generating research in Table 5 .

Qualitative studies usually pose at least one central research question and several subquestions starting with How or What . These research questions use exploratory verbs such as explore or describe . These also focus on one central phenomenon of interest, and may mention the participants and research site. 15

Hypotheses in qualitative research

Hypotheses in qualitative research are stated in the form of a clear statement concerning the problem to be investigated. Unlike in quantitative research where hypotheses are usually developed to be tested, qualitative research can lead to both hypothesis-testing and hypothesis-generating outcomes. 2 When studies require both quantitative and qualitative research questions, this suggests an integrative process between both research methods wherein a single mixed-methods research question can be developed. 1

FRAMEWORKS FOR DEVELOPING RESEARCH QUESTIONS AND HYPOTHESES

Research questions followed by hypotheses should be developed before the start of the study. 1 , 12 , 14 It is crucial to develop feasible research questions on a topic that is interesting to both the researcher and the scientific community. This can be achieved by a meticulous review of previous and current studies to establish a novel topic. Specific areas are subsequently focused on to generate ethical research questions. The relevance of the research questions is evaluated in terms of clarity of the resulting data, specificity of the methodology, objectivity of the outcome, depth of the research, and impact of the study. 1 , 5 These aspects constitute the FINER criteria (i.e., Feasible, Interesting, Novel, Ethical, and Relevant). 1 Clarity and effectiveness are achieved if research questions meet the FINER criteria. In addition to the FINER criteria, Ratan et al. described focus, complexity, novelty, feasibility, and measurability for evaluating the effectiveness of research questions. 14

The PICOT and PEO frameworks are also used when developing research questions. 1 The following elements are addressed in these frameworks, PICOT: P-population/patients/problem, I-intervention or indicator being studied, C-comparison group, O-outcome of interest, and T-timeframe of the study; PEO: P-population being studied, E-exposure to preexisting conditions, and O-outcome of interest. 1 Research questions are also considered good if these meet the “FINERMAPS” framework: Feasible, Interesting, Novel, Ethical, Relevant, Manageable, Appropriate, Potential value/publishable, and Systematic. 14

As we indicated earlier, research questions and hypotheses that are not carefully formulated result in unethical studies or poor outcomes. To illustrate this, we provide some examples of ambiguous research question and hypotheses that result in unclear and weak research objectives in quantitative research ( Table 6 ) 16 and qualitative research ( Table 7 ) 17 , and how to transform these ambiguous research question(s) and hypothesis(es) into clear and good statements.

a These statements were composed for comparison and illustrative purposes only.

b These statements are direct quotes from Higashihara and Horiuchi. 16

a This statement is a direct quote from Shimoda et al. 17

The other statements were composed for comparison and illustrative purposes only.

CONSTRUCTING RESEARCH QUESTIONS AND HYPOTHESES

To construct effective research questions and hypotheses, it is very important to 1) clarify the background and 2) identify the research problem at the outset of the research, within a specific timeframe. 9 Then, 3) review or conduct preliminary research to collect all available knowledge about the possible research questions by studying theories and previous studies. 18 Afterwards, 4) construct research questions to investigate the research problem. Identify variables to be accessed from the research questions 4 and make operational definitions of constructs from the research problem and questions. Thereafter, 5) construct specific deductive or inductive predictions in the form of hypotheses. 4 Finally, 6) state the study aims . This general flow for constructing effective research questions and hypotheses prior to conducting research is shown in Fig. 1 .

Research questions are used more frequently in qualitative research than objectives or hypotheses. 3 These questions seek to discover, understand, explore or describe experiences by asking “What” or “How.” The questions are open-ended to elicit a description rather than to relate variables or compare groups. The questions are continually reviewed, reformulated, and changed during the qualitative study. 3 Research questions are also used more frequently in survey projects than hypotheses in experiments in quantitative research to compare variables and their relationships.

Hypotheses are constructed based on the variables identified and as an if-then statement, following the template, ‘If a specific action is taken, then a certain outcome is expected.’ At this stage, some ideas regarding expectations from the research to be conducted must be drawn. 18 Then, the variables to be manipulated (independent) and influenced (dependent) are defined. 4 Thereafter, the hypothesis is stated and refined, and reproducible data tailored to the hypothesis are identified, collected, and analyzed. 4 The hypotheses must be testable and specific, 18 and should describe the variables and their relationships, the specific group being studied, and the predicted research outcome. 18 Hypotheses construction involves a testable proposition to be deduced from theory, and independent and dependent variables to be separated and measured separately. 3 Therefore, good hypotheses must be based on good research questions constructed at the start of a study or trial. 12

In summary, research questions are constructed after establishing the background of the study. Hypotheses are then developed based on the research questions. Thus, it is crucial to have excellent research questions to generate superior hypotheses. In turn, these would determine the research objectives and the design of the study, and ultimately, the outcome of the research. 12 Algorithms for building research questions and hypotheses are shown in Fig. 2 for quantitative research and in Fig. 3 for qualitative research.

EXAMPLES OF RESEARCH QUESTIONS FROM PUBLISHED ARTICLES

• EXAMPLE 1. Descriptive research question (quantitative research)
• - Presents research variables to be assessed (distinct phenotypes and subphenotypes)
• “BACKGROUND: Since COVID-19 was identified, its clinical and biological heterogeneity has been recognized. Identifying COVID-19 phenotypes might help guide basic, clinical, and translational research efforts.
• RESEARCH QUESTION: Does the clinical spectrum of patients with COVID-19 contain distinct phenotypes and subphenotypes? ” 19
• EXAMPLE 2. Relationship research question (quantitative research)
• - Shows interactions between dependent variable (static postural control) and independent variable (peripheral visual field loss)
• “Background: Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
• Research question: What are the effects of peripheral visual field loss on static postural control ?” 20
• EXAMPLE 3. Comparative research question (quantitative research)
• - Clarifies the difference among groups with an outcome variable (patients enrolled in COMPERA with moderate PH or severe PH in COPD) and another group without the outcome variable (patients with idiopathic pulmonary arterial hypertension (IPAH))
• “BACKGROUND: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition.
• RESEARCH QUESTION: Which factors determine the outcome of PH in COPD?
• STUDY DESIGN AND METHODS: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH) .” 21
• EXAMPLE 4. Exploratory research question (qualitative research)
• - Explores areas that have not been fully investigated (perspectives of families and children who receive care in clinic-based child obesity treatment) to have a deeper understanding of the research problem
• “Problem: Interventions for children with obesity lead to only modest improvements in BMI and long-term outcomes, and data are limited on the perspectives of families of children with obesity in clinic-based treatment. This scoping review seeks to answer the question: What is known about the perspectives of families and children who receive care in clinic-based child obesity treatment? This review aims to explore the scope of perspectives reported by families of children with obesity who have received individualized outpatient clinic-based obesity treatment.” 22
• EXAMPLE 5. Relationship research question (quantitative research)
• - Defines interactions between dependent variable (use of ankle strategies) and independent variable (changes in muscle tone)
• “Background: To maintain an upright standing posture against external disturbances, the human body mainly employs two types of postural control strategies: “ankle strategy” and “hip strategy.” While it has been reported that the magnitude of the disturbance alters the use of postural control strategies, it has not been elucidated how the level of muscle tone, one of the crucial parameters of bodily function, determines the use of each strategy. We have previously confirmed using forward dynamics simulations of human musculoskeletal models that an increased muscle tone promotes the use of ankle strategies. The objective of the present study was to experimentally evaluate a hypothesis: an increased muscle tone promotes the use of ankle strategies. Research question: Do changes in the muscle tone affect the use of ankle strategies ?” 23

EXAMPLES OF HYPOTHESES IN PUBLISHED ARTICLES

• EXAMPLE 1. Working hypothesis (quantitative research)
• - A hypothesis that is initially accepted for further research to produce a feasible theory
• “As fever may have benefit in shortening the duration of viral illness, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response when taken during the early stages of COVID-19 illness .” 24
• “In conclusion, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response . The difference in perceived safety of these agents in COVID-19 illness could be related to the more potent efficacy to reduce fever with ibuprofen compared to acetaminophen. Compelling data on the benefit of fever warrant further research and review to determine when to treat or withhold ibuprofen for early stage fever for COVID-19 and other related viral illnesses .” 24
• EXAMPLE 2. Exploratory hypothesis (qualitative research)
• - Explores particular areas deeper to clarify subjective experience and develop a formal hypothesis potentially testable in a future quantitative approach
• “We hypothesized that when thinking about a past experience of help-seeking, a self distancing prompt would cause increased help-seeking intentions and more favorable help-seeking outcome expectations .” 25
• “Conclusion
• Although a priori hypotheses were not supported, further research is warranted as results indicate the potential for using self-distancing approaches to increasing help-seeking among some people with depressive symptomatology.” 25
• EXAMPLE 3. Hypothesis-generating research to establish a framework for hypothesis testing (qualitative research)
• “We hypothesize that compassionate care is beneficial for patients (better outcomes), healthcare systems and payers (lower costs), and healthcare providers (lower burnout). ” 26
• Compassionomics is the branch of knowledge and scientific study of the effects of compassionate healthcare. Our main hypotheses are that compassionate healthcare is beneficial for (1) patients, by improving clinical outcomes, (2) healthcare systems and payers, by supporting financial sustainability, and (3) HCPs, by lowering burnout and promoting resilience and well-being. The purpose of this paper is to establish a scientific framework for testing the hypotheses above . If these hypotheses are confirmed through rigorous research, compassionomics will belong in the science of evidence-based medicine, with major implications for all healthcare domains.” 26
• EXAMPLE 4. Statistical hypothesis (quantitative research)
• - An assumption is made about the relationship among several population characteristics ( gender differences in sociodemographic and clinical characteristics of adults with ADHD ). Validity is tested by statistical experiment or analysis ( chi-square test, Students t-test, and logistic regression analysis)
• “Our research investigated gender differences in sociodemographic and clinical characteristics of adults with ADHD in a Japanese clinical sample. Due to unique Japanese cultural ideals and expectations of women's behavior that are in opposition to ADHD symptoms, we hypothesized that women with ADHD experience more difficulties and present more dysfunctions than men . We tested the following hypotheses: first, women with ADHD have more comorbidities than men with ADHD; second, women with ADHD experience more social hardships than men, such as having less full-time employment and being more likely to be divorced.” 27
• “Statistical Analysis
• ( text omitted ) Between-gender comparisons were made using the chi-squared test for categorical variables and Students t-test for continuous variables…( text omitted ). A logistic regression analysis was performed for employment status, marital status, and comorbidity to evaluate the independent effects of gender on these dependent variables.” 27

EXAMPLES OF HYPOTHESIS AS WRITTEN IN PUBLISHED ARTICLES IN RELATION TO OTHER PARTS

• EXAMPLE 1. Background, hypotheses, and aims are provided
• “Pregnant women need skilled care during pregnancy and childbirth, but that skilled care is often delayed in some countries …( text omitted ). The focused antenatal care (FANC) model of WHO recommends that nurses provide information or counseling to all pregnant women …( text omitted ). Job aids are visual support materials that provide the right kind of information using graphics and words in a simple and yet effective manner. When nurses are not highly trained or have many work details to attend to, these job aids can serve as a content reminder for the nurses and can be used for educating their patients (Jennings, Yebadokpo, Affo, & Agbogbe, 2010) ( text omitted ). Importantly, additional evidence is needed to confirm how job aids can further improve the quality of ANC counseling by health workers in maternal care …( text omitted )” 28
• “ This has led us to hypothesize that the quality of ANC counseling would be better if supported by job aids. Consequently, a better quality of ANC counseling is expected to produce higher levels of awareness concerning the danger signs of pregnancy and a more favorable impression of the caring behavior of nurses .” 28
• “This study aimed to examine the differences in the responses of pregnant women to a job aid-supported intervention during ANC visit in terms of 1) their understanding of the danger signs of pregnancy and 2) their impression of the caring behaviors of nurses to pregnant women in rural Tanzania.” 28
• EXAMPLE 2. Background, hypotheses, and aims are provided
• “We conducted a two-arm randomized controlled trial (RCT) to evaluate and compare changes in salivary cortisol and oxytocin levels of first-time pregnant women between experimental and control groups. The women in the experimental group touched and held an infant for 30 min (experimental intervention protocol), whereas those in the control group watched a DVD movie of an infant (control intervention protocol). The primary outcome was salivary cortisol level and the secondary outcome was salivary oxytocin level.” 29
• “ We hypothesize that at 30 min after touching and holding an infant, the salivary cortisol level will significantly decrease and the salivary oxytocin level will increase in the experimental group compared with the control group .” 29
• EXAMPLE 3. Background, aim, and hypothesis are provided
• “In countries where the maternal mortality ratio remains high, antenatal education to increase Birth Preparedness and Complication Readiness (BPCR) is considered one of the top priorities [1]. BPCR includes birth plans during the antenatal period, such as the birthplace, birth attendant, transportation, health facility for complications, expenses, and birth materials, as well as family coordination to achieve such birth plans. In Tanzania, although increasing, only about half of all pregnant women attend an antenatal clinic more than four times [4]. Moreover, the information provided during antenatal care (ANC) is insufficient. In the resource-poor settings, antenatal group education is a potential approach because of the limited time for individual counseling at antenatal clinics.” 30
• “This study aimed to evaluate an antenatal group education program among pregnant women and their families with respect to birth-preparedness and maternal and infant outcomes in rural villages of Tanzania.” 30
• “ The study hypothesis was if Tanzanian pregnant women and their families received a family-oriented antenatal group education, they would (1) have a higher level of BPCR, (2) attend antenatal clinic four or more times, (3) give birth in a health facility, (4) have less complications of women at birth, and (5) have less complications and deaths of infants than those who did not receive the education .” 30

Research questions and hypotheses are crucial components to any type of research, whether quantitative or qualitative. These questions should be developed at the very beginning of the study. Excellent research questions lead to superior hypotheses, which, like a compass, set the direction of research, and can often determine the successful conduct of the study. Many research studies have floundered because the development of research questions and subsequent hypotheses was not given the thought and meticulous attention needed. The development of research questions and hypotheses is an iterative process based on extensive knowledge of the literature and insightful grasp of the knowledge gap. Focused, concise, and specific research questions provide a strong foundation for constructing hypotheses which serve as formal predictions about the research outcomes. Research questions and hypotheses are crucial elements of research that should not be overlooked. They should be carefully thought of and constructed when planning research. This avoids unethical studies and poor outcomes by defining well-founded objectives that determine the design, course, and outcome of the study.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

• Conceptualization: Barroga E, Matanguihan GJ.
• Methodology: Barroga E, Matanguihan GJ.
• Writing - original draft: Barroga E, Matanguihan GJ.
• Writing - review & editing: Barroga E, Matanguihan GJ.

A Guide to Quantitative Research Proposals

In this essay, noted scholar Elizabeth Tipton elaborates on how to best articulate quantitative research design in grant proposals. This essay is a companion piece to our “ A Guide to Writing Successful Field Initiated Research Grant Proposals ,” which provides general information about the elements of grant writing.

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Key Concepts in Quantitative Research

In this module, we are going to explore the nuances of quantitative research, including the main types of quantitative research, more exploration into variables (including confounding and extraneous variables), and causation.

Content includes:

• Flaws, “Proof”, and Rigor
• The Steps of Quantitative Methodology
• Major Classes of Quantitative Research
• Experimental versus Non-Experimental Research
• Types of Experimental Research
• Types of Non-Experimental Research
• Research Variables
• Confounding/Extraneous Variables
• Causation versus correlation/association

Objectives:

• Discuss the flaws, proof, and rigor in research.
• Describe the differences between independent variables and dependent variables.
• Describe the steps in quantitative research methodology.
• Describe experimental, quasi-experimental, and non-experimental research studies
• Describe confounding and extraneous variables.
• Differentiate cause-and-effect (causality) versus association/correlation

Flaws, Proof, and Rigor in Research

One of the biggest hurdles that students and seasoned researchers alike struggle to grasp, is that research cannot “ prove ” nor “ disprove ”. Research can only support a hypothesis with reasonable, statistically significant evidence.

Indeed. You’ve heard it incorrectly your entire life. You will hear professors, scientists, radio ads, podcasts, and even researchers comment something to the effect of, “It has been proven that…” or “Research proves that…” or “Finally! There is proof that…”

We have been duped. Consider the “ prove ” word a very bad word in this course. The forbidden “P” word. Do not say it, write it, allude to it, or repeat it. And, for the love of avocados and all things fluffy, do not include the “P” word on your EBP poster. You will be deducted some major points.

We can only conclude with reasonable certainty through statistical analyses that there is a high probability that something did not happen by chance but instead happened due to the intervention that the researcher tested. Got that? We will come back to that concept but for now know that it is called “statistical significance”.

All research has flaws. We might not know what those flaws are, but we will be learning about confounding and extraneous variables later on in this module to help explain how flaws can happen.

Remember this: Sometimes, the researcher might not even know that there was a flaw that occurred. No research project is perfect. There is no 100% awesome. This is a major reason why it is so important to be able to duplicate a research project and obtain similar results. The more we can duplicate research with the same exact methodology and protocols, the more certainty we have in the results and we can start accounting for flaws that may have sneaked in.

Finally, not all research is equal. Some research is done very sloppily, and other research has a very high standard of rigor. How do we know which is which when reading an article? Well, within this module, we will start learning about some things to look for in a published research article to help determine rigor. We do not want lazy research to determine our actions as nurses, right? We want the strongest, most reliable, most valid, most rigorous research evidence possible so that we can take those results and embed them into patient care. Who wants shoddy evidence determining the actions we take with your grandmother’s heart surgery?

Independent Variables and Dependent Variables

As we were already introduced to, there are measures called “variables” in research. This will be a bit of a review but it is important to bring up again, as it is a hallmark of quantitative research. In quantitative studies, the concepts being measured are called variables (AKA: something that varies). Variables are something that can change – either by manipulation or from something causing a change. In the article snapshots that we have looked at, researchers are trying to find causes for phenomena. Does a nursing intervention cause an improvement in patient outcomes? Does the cholesterol medication cause a decrease in cholesterol level? Does smoking cause  cancer?

The presumed cause is called the independent variable. The presumed effect is called the dependent variable. The dependent variable is “dependent” on something causing it to change. The dependent variable is the outcome that a researcher is trying to understand, explain, or predict.

Think back to our PICO questions. You can think of the intervention (I) as the independent variable and the outcome (O) as the dependent variable.

The independent variable is manipulated by the researcher or can be variants of influence. Whereas the dependent variable is never manipulated.

Variables do not always measure cause-and-effect. They can also measure a direction of influence.

Here is an example of that: If we compared levels of depression among men and women diagnosed with pancreatic cancer and found men to be more depressed, we cannot conclude that depression was caused by gender. However, we can note that the direction of influence   clearly runs from gender to depression. It makes no sense to suggest the depression influenced their gender.

In the above example, what is the independent variable (IV) and what is the dependent variable (DV)? If you guessed gender as the IV and depression as the DV, you are correct! Important to note in this case that the researcher did not manipulate the IV, but the IV is manipulated on its own (male or female).

Researchers do not always have just one IV. In some cases, more than one IV may be measured. Take, for instance, a study that wants to measure the factors that influence one’s study habits. Independent variables of gender, sleep habits, and hours of work may be considered. Likewise, multiple DVs can be measured. For example, perhaps we want to measure weight and abdominal girth on a plant-based diet (IV).

Now, some studies do not have an intervention. We will come back to that when we talk about non-experimental research.

The point of variables is so that researchers have a very specific measurement that they seek to study.

Let’s look at a couple of examples:

Now you try! Identify the IVs and DVs:

IV and DV Case Studies (Leibold, 2020)

Case Three:   Independent variable: Healthy Lifestyle education with a focus on physical activity; Dependent variable: Physical activity rate before and after education intervention, Heart rate before and after education intervention, Blood pressures before and after education intervention.

Case Four:   Independent variable: Playing classical music; Dependent variable:  Grade point averages post classical music, compared to pre-classical music.

Case Five: Independent variable: No independent variable as there is no intervention.  Dependent variable: The themes that emerge from the qualitative data.

The Steps in Quantitative Research Methodology

Now, as we learned in the last module, quantitative research is completely objective. There is no subjectivity to it. Why is this? Well, as we have learned, the purpose of quantitative research is to make an inference about the results in order to generalize these results to the population.

In quantitative studies, there is a very systematic approach that moves from the beginning point of the study (writing a research question) to the end point (obtaining an answer). This is a very linear and purposeful flow across the study, and all quantitative research should follow the same sequence.

• Identifying a problem and formulating a research question . Quantitative research begins with a theory . As in, “something is wrong and we want to fix it or improve it”.  Think back to when we discussed research problems and formulating a research question. Here we are! That is the first step in formulating a quantitative research plan.
• Formulate a hypothesis . This step is key. Researchers need to know exactly what they are testing so that testing the hypothesis can be achieved through specific statistical analyses.
• A thorough literature review .  At this step, researchers strive to understand what is already known about a topic and what evidence already exists.
• Identifying a framework .  When an appropriate framework is identified, the findings of a study may have broader significance and utility (Polit & Beck, 2021).
• Choosing a study design . The research design will determine exactly how the researcher will obtain the answers to the research question(s). The entire design needs to be structured and controlled, with the overarching goal of minimizing bias and errors. The design determines what data will be collected and how, how often data will be collected, what types of comparisons will be made. You can think of the study design as the architectural backbone of the entire study.
• Sampling . The researcher needs to determine a subset of the population that is to be studied. We will come back to the sampling concept in the next module. However, the goal of sampling is to choose a subset of the population that adequate reflects the population of interest.
• I nstruments to be used to collect data (with reliability and validity as a priority). Researchers must find a way to measure the research variables (intervention and outcome) accurately. The task of measuring is complex and challenging, as data needs to be collected reliably (measuring consistently each time) and valid. Reliability and validity are both about how well a method measures something. The next module will cover this in detail.
• Obtaining approval for ethical/legal human rights procedures . As we will learn in an upcoming module, there needs to be methods in place to safeguard human rights.
• Data collection . The fun part! Finally, after everything has been organized and planned, the researcher(s) begin to collect data. The pre-established plan (methodology) determines when data collection begins, how to accomplish it, how data collection staff will be trained, and how data will be recorded.
• Data analysis . Here comes the statistical analyses. The next module will dive into this.
• Discussion . After all the analyses have been complete, the researcher then needs to interpret the results and examine the implications. Researchers attempt to explain the findings in light of the theoretical framework, prior evidence, theory, clinical experience, and any limitations in the study now that it has been completed. Often, the researcher discusses not just the statistical significance, but also the clinical significance, as it is common to have one without the other.
• Summary/references . Part of the final steps of any research project is to disseminate (AKA: share) the findings. This may be in a published article, conference, poster session, etc. The point of this step is to communicate to others the information found through the study.  All references are collected so that the researchers can give credit to others.
• Budget and funding . As a last mention in the overall steps, budget and funding for research is a consideration. Research can be expensive. Often, researchers can obtain a grant or other funding to help offset the costs.

Edit: Steps in Quantitative Research video. Step 12 should say “Dissemination” (sharing the results).

Experimental, Quasi-Experimental, and Non-Experimental Studies

To start this section, please watch this wonderful video by Jenny Barrow, MSN, RN, CNE, that explains experimental versus nonexperimental research.

(Jenny Barrow, 2019)

Now that you have that overview, continue reading this module.

Experimental Research : In experimental research, the researcher is seeking to draw a conclusion between an independent variable and a dependent variable. This design attempts to establish cause-effect relationships among the variables. You could think of experimental research as experimenting with “something” to see if it caused “something else”.

A true experiment is called a Randomized Controlled Trial (or RCT). An RCT is at the top of the echelon as far as quantitative experimental research. It’s the gold standard of scientific research. An RCT, a true experimental design, must have 3 features:

• An intervention : The experiment does something to the participants by the option of manipulating the independent variable.
• Control : Some participants in the study receive either the standard care, or no intervention at all. This is also called the counterfactual – meaning, it shows what would happen if no intervention was introduced.
• Randomization : Randomization happens when the researcher makes sure that it is completely random who receives the intervention and who receives the control. The purpose is to make the groups equal regarding all other factors except receipt of the intervention.

Note: There is a lot of confusion with students (and even some researchers!) when they refer to “ random assignment ” versus “ random sampling ”. Random assignment  is a signature of a true experiment. This means that if participants are not truly randomly assigned to intervention groups, then it is not a true experiment. We will talk more about random sampling in the next module.

One very common method for RCT’s is called a pretest-posttest design .  This is when the researcher measures the outcome before and after the intervention. For example, if the researcher had an IV (intervention/treatment) of a pain medication, the DV (pain) would be measured before the intervention is given and after it is given. The control group may just receive a placebo. This design permits the researcher to see if the change in pain was caused by the pain medication because only some people received it (Polit & Beck, 2021).

Another experimental design is called a crossover design . This type of design involves exposing participants to more than one treatment. For example, subject 1 first receives treatment A, then treatment B, then treatment C. Subject 2 might first receive treatment B, then treatment A, and then treatment C. In this type of study, the three conditions for an experiment are met: Intervention, randomization, and control – with the subjects serving as their own control group.

Control group conditions can be done in 4 ways:

• No intervention is used; control group gets no treatment at all
• “Usual care” or standard of care or normal procedures used
• An alternative intervention is uses (e.g. auditory versus visual stimulation)
• A placebo or pseudo-intervention, presumed to have no therapeutic value, is used

Quasi-Experimental Research : Quasi-experiments involve an experiment just like true experimental research. However, they lack randomization and some even lack a control group.  Therefore, there is implementation and testing of an intervention, but there is an absence of randomization.

For example, perhaps we wanted to measure the effect of yoga for nursing students. The IV (intervention of yoga) is being offered to all nursing students and therefore randomization is not possible. For comparison, we could measure quality of life data on nursing students at a different university. Data is collected from both groups at baseline and then again after the yoga classes. Note, that in quasi-experiments, the phrase “comparison group” is sometimes used instead of “control group” against which outcome measures are collected.

Sometimes there is no comparison group either. This would be called a one-group pretest-posttest design .

Non-Experimental Research : Sometimes, cause-problem research questions cannot be answered with an experimental or quasi-experimental design because the IV cannot be manipulated. For example, if we want to measure what impact prerequisite grades have on student success in nursing programs, we obviously cannot manipulate the prerequisite grades. In another example, if we wanted to investigate how low birth weight impacts developmental progression in children, we cannot manipulate the birth weight. Often, you will see the word “observational” in lieu of non-experimental researcher. This does not mean the researcher is just standing and watching people, but instead it refers to the method of observing data that has already been established without manipulation.

There are various types of non-experimental research:

Correlational research : A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. In the example of prerequisites and nursing program success, that is a correlational design. Consider hypothetically, a researcher is studying a correlation between cancer and marriage. In this study, there are two variables: disease and marriage. Let us say marriage has a negative association with cancer. This means that married people are less likely to develop cancer.

Cohort design (also called a prospective design) : In a cohort study, the participants do not have the outcome of interest to begin with. They are selected based on the exposure status of the individual. They are then followed over time to evaluate for the occurrence of the outcome of interest. Cohorts may be divided into exposure categories once baseline measurements of a defined population are made. For example, the Framingham Cardiovascular Disease Study (CVD) used baseline measurements to divide the population into categories of CVD risk factors. Another example:  An example of a cohort study is comparing the test scores of one group of people who underwent extensive tutoring and a special curriculum and those who did not receive any extra help. The group could be studied for years to assess whether their scores improve over time and at what rate.

Retrospective design : In retrospective studies, the outcome of interest has already occurred (or not occurred – e.g., in controls) in each individual by the time s/he is enrolled, and the data are collected either from records or by asking participants to recall exposures. There is no follow-up of participants. For example, a researcher might examine the medical histories of 1000 elderly women to identify the causes of health problems.

Case-control design : A study that compares two groups of people: those with the disease or condition under study (cases) and a very similar group of people who do not have the condition. For example, investigators conducted a case-control study to determine if there is an association between colon cancer and a high fat diet. Cases were all confirmed colon cancer cases in North Carolina in 2010. Controls were a sample of North Carolina residents without colon cancer.

Descriptive research : Descriptive research design is a type of research design that aims to obtain information to systematically describe a phenomenon, situation, or population. More specifically, it helps answer the what, when, where, and how questions regarding the research problem, rather than the why. For example, the researcher might wish to discover the percentage of motorists who tailgate – the prevalence  of a certain behavior.

There are two other designs to mention, which are both on a time continuum basis.

Cross-sectional design : All data are collected at a single point in time. Retrospective studies are usually cross-sectional. The IV usually concerns events or behaviors occurring in the past. One cross-sectional study example in medicine is a data collection of smoking habits and lung cancer incidence in a given population. A cross-sectional study like this cannot solely determine that smoking habits cause lung cancer, but it can suggest a relationship that merits further investigation. Cross-sectional studies serve many purposes, and the cross-sectional design is the most relevant design when assessing the prevalence of disease, attitudes and knowledge among patients and health personnel, in validation studies comparing, for example, different measurement instruments, and in reliability studies.

Longitudinal design : Data are collected two or more times over an extended period. Longitudinal designs are better at showing patterns of change and at clarifying whether a cause occurred before an effect (outcome). A challenge in longitudinal studies is attrition or the loss of participants over time. In a longitudinal study subjects are followed over time with continuous or repeated monitoring of risk factors or health outcomes, or both. Such investigations vary enormously in their size and complexity. At one extreme a large population may be studied over decades. An example of a longitudinal design is a multiyear comparative study of the same children in an urban and a suburban school to record their cognitive development in depth.

Confounding and Extraneous Variables

Confounding variables  are a type of extraneous variable that occur which interfere with or influence the relationship between the independent and dependent variables. In research that investigates a potential cause-and-effect relationship, a confounding variable is an unmeasured third variable that influences both the supposed cause and the supposed effect.

It’s important to consider potential confounding variables and account for them in research designs to ensure results are valid. You can imagine that if something sneaks in to influence the measured variables, it can really muck up the study!

Here is an example:

You collect data on sunburns and ice cream consumption. You find that higher ice cream consumption is associated with a higher probability of sunburn. Does that mean ice cream consumption causes sunburn?

Here, the confounding variable is temperature: hot temperatures cause people to both eat more ice cream and spend more time outdoors under the sun, resulting in more sunburns.

To ensure the internal validity of research, the researcher must account for confounding variables. If he/she fails to do so, the results may not reflect the actual relationship between the variables that they are interested in.

For instance, they may find a cause-and-effect relationship that does not actually exist, because the effect they measure is caused by the confounding variable (and not by the independent variable).

Here is another example:

The researcher finds that babies born to mothers who smoked during their pregnancies weigh significantly less than those born to non-smoking mothers. However, if the researcher does not account for the fact that smokers are more likely to engage in other unhealthy behaviors, such as drinking or eating less healthy foods, then he/she might overestimate the relationship between smoking and low birth weight.

Extraneous variables are any variables that the researcher is not investigating that can potentially affect the outcomes of the research study. If left uncontrolled, extraneous variables can lead to inaccurate conclusions about the relationship between IVs and DVs.

Extraneous variables can threaten the internal validity of a study by providing alternative explanations for the results. In an experiment, the researcher manipulates an independent variable to study its effects on a dependent variable.

In a study on mental performance, the researcher tests whether wearing a white lab coat, the independent variable (IV), improves scientific reasoning, the dependent variable (DV).

Students from a university are recruited to participate in the study. The researcher manipulates the independent variable by splitting participants into two groups:

• Participants in the experimental   group are asked to wear a lab coat during the study.
• Participants in the control group are asked to wear a casual coat during the study.

All participants are given a scientific knowledge quiz, and their scores are compared between groups.

When extraneous variables are uncontrolled, it’s hard to determine the exact effects of the independent variable on the dependent variable, because the effects of extraneous variables may mask them.

Uncontrolled extraneous variables can also make it seem as though there is a true effect of the independent variable in an experiment when there’s actually none.

In the above experiment example, these extraneous variables can affect the science knowledge scores:

• Participant’s major (e.g., STEM or humanities)
• Participant’s interest in science
• Demographic variables such as gender or educational background
• Time of day of testing
• Experiment environment or setting

If these variables systematically differ between the groups, you can’t be sure whether your results come from your independent variable manipulation or from the extraneous variables.

In summary, an extraneous variable is anything that could influence the dependent variable. A confounding variable influences the dependent variable, and also correlates with or causally affects the independent variable.

Cause-and-Effect (Causality) Versus Association/Correlation  

A very important concept to understand is cause-and-effect, also known as causality, versus correlation. Let’s look at these two concepts in very simplified statements. Causation means that one thing caused  another thing to happen. Correlation means there is some association between the two thing we are measuring.

It would be nice if it were as simple as that. These two concepts can indeed by confused by many. Let’s dive deeper.

Two or more variables are considered to be related or associated, in a statistical context, if their values change so that as the value of one variable increases or decreases so does the value of the other variable (or the opposite direction).

For example, for the two variables of “hours worked” and “income earned”, there is a relationship between the two if the increase in hours is associated with an increase in income earned.

However, correlation is a statistical measure that describes the size and direction of a relationship between two or more variables. A correlation does not automatically mean that the change in one variable caused the change in value in the other variable.

Theoretically, the difference between the two types of relationships is easy to identify — an action or occurrence can cause another (e.g. smoking causes an increase in the risk of developing lung cancer), or it can correlate with another (e.g. smoking is correlated with alcoholism, but it does not cause alcoholism). In practice, however, it remains difficult to clearly establish cause and effect, compared with establishing correlation.

Simplified in this image, we can say that hot and sunny weather causes an increase in ice cream consumption. Similarly, we can demise that hot and sunny weather increases the incidence of sunburns. However, we cannot say that ice cream caused a sunburn (or that a sunburn increases consumption of ice cream). It is purely coincidental. In this example, it is pretty easy to anecdotally surmise correlation versus causation. However, in research, we have statistical tests that help researchers differentiate via specialized analyses.

Here is a great Khan Academy video of about 5 minutes that shows a worked example of correlation versus causation with regard to sledding accidents and frostbite cases:

https://www.khanacademy.org/test-prep/praxis-math/praxis-math-lessons/gtp–praxis-math–lessons–statistics-and-probability/v/gtp–praxis-math–video–correlation-and-causation

References & Attribution

“ Light bulb doodle ” by rawpixel licensed CC0 .

“ Magnifying glass ” by rawpixel licensed CC0

“ Orange flame ” by rawpixel licensed CC0 .

Jenny Barrow. (2019). Experimental versus nonexperimental research. https://www.youtube.com/watch?v=FJo8xyXHAlE

Leibold, N. (2020). Research variables. Measures and Concepts Commonly Encountered in EBP. Creative Commons License: BY NC

Polit, D. & Beck, C. (2021).  Lippincott CoursePoint Enhanced for Polit’s Essentials of Nursing Research  (10th ed.). Wolters Kluwer Health.

Evidence-Based Practice & Research Methodologies Copyright © by Tracy Fawns is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Research/Clinical/Student Project Proposal Guidelines

Download the 2016 application.  All materials must be formatted using APA format.

I. Quantitative Research Proposal

1. Title and Abstract A 200-word abstract are to accompany the proposal. The abstract should include the study aim, significance, the population and sample description and a statement of the design and analysis.

2. Proposal Outline (1,500 word limit) The following areas are to be included in the proposal, as appropriate.

A. The Problem a) Statement of the problem or research question. b) Hypotheses. c) Definitions of variables. Theoretical and operational definitions (instruments). d) Theoretical framework and population. e) Critique of the most salient elements of the pertinent literature. f) Significance to nursing science.

B. Methodology a) Design b) Instrument reliability and validity. c) Data collection procedure. Include official human subjects reviews if conducted and a consent form. d) Sample, size and sampling procedure. e) Method of analysis.

C. References and Appendices a) Reference list

II. Qualitative Research Proposal

A. Title and 200-word Abstract

B. Proposal (1,500 word limit)     a) A clear statement that specifies the phenomenon to be studied;     b) Documentation of a need for study and significance of the study for nursing;     c) Identification of the qualitative approach with a rationale for its selection;     d) Specification of the design with attention to:         - what data are sought         - how and when those data will be solicited         - how relationships with research participants will be initiated, maintained and terminated         - how data will be managed         - how data will be analyzed and related to pre-existing knowledge         - how findings will be reported     e) References and Appendices

III. Clinical Project – 1500 word limit A clinical project is defined as a professional nursing project that addresses a common or significant health concern in a creative and evidence-based manner.  The project should go beyond the applicant’s usual academic or employment requirements. 

A. Aims - State clearly the clinical significance of the project including how it will identify/test/demonstrate nursing interventions and/or care delivery models that provide the most beneficial outcomes for patients. State concisely and realistically the expected clinical impact of this project, i.e., what the clinical project is intended to accomplish and/or demonstrate. 

B. Significance & Background - Briefly describe the clinical significance of the project. Be clear what is being demonstrated. Provide a synthesis of the literature in the field(s) that is pertinent to the proposed project. Summarize the rationale or theoretical/conceptual underpinnings for the work. State clearly the relationship of this project to an overall program of clinical scholarship.

C. Method - Discuss in detail the methods to be used to accomplish the aims. Describe the potential limitations of the methods and approaches you will use to minimize these limitations. Delineate measures to be used to assess the effect of the project.

D. Dissemination & Translation – Describe the audiences that would benefit from knowing and adopting the findings of this work. Outline a dissemination plan.

E. Time Frame - Provide a timeline for the main steps of the project, including anticipated start and completion dates. 

IV. Student Project – 1500 word limit A student project is defined as project that addresses a common or significant health concern in a creative and evidence-based manner. It may include activities associated with Masters, PhD or DNP work.

A. Aims - State clearly the clinical or research significance of the project including how it will identify/test/demonstrate nursing interventions and/or care delivery models that provide the most beneficial outcomes for patients. State concisely and realistically the expected clinical impact of this project, i.e., what the clinical project is intended to accomplish and/or demonstrate. 

B. Significance & Background - Briefly describe the clinical or research significance of the project. Be clear what is being demonstrated. Provide a synthesis of the literature in the field(s) that is pertinent to the proposed project. Summarize the rationale or theoretical/conceptual underpinnings for the work. State clearly the relationship of this project to an overall program of scholarship. 

C. Method - Discuss in detail the methods to be used to accomplish the aims. Describe the potential limitations of the methods and approaches you will use to minimize these limitations. Delineate measures to be used to assess the effect of the project. 

E. Time Frame - Provide a timeline for the main steps of the project, including anticipated start and completion dates.

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Methodology

• What Is Quantitative Research? | Definition, Uses & Methods

What Is Quantitative Research? | Definition, Uses & Methods

Published on June 12, 2020 by Pritha Bhandari . Revised on June 22, 2023.

Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations.

Quantitative research is the opposite of qualitative research , which involves collecting and analyzing non-numerical data (e.g., text, video, or audio).

Quantitative research is widely used in the natural and social sciences: biology, chemistry, psychology, economics, sociology, marketing, etc.

• What is the demographic makeup of Singapore in 2020?
• How has the average temperature changed globally over the last century?
• Does environmental pollution affect the prevalence of honey bees?
• Does working from home increase productivity for people with long commutes?

Table of contents

Quantitative research methods, quantitative data analysis, advantages of quantitative research, disadvantages of quantitative research, other interesting articles, frequently asked questions about quantitative research.

You can use quantitative research methods for descriptive, correlational or experimental research.

• In descriptive research , you simply seek an overall summary of your study variables.
• In correlational research , you investigate relationships between your study variables.
• In experimental research , you systematically examine whether there is a cause-and-effect relationship between variables.

Correlational and experimental research can both be used to formally test hypotheses , or predictions, using statistics. The results may be generalized to broader populations based on the sampling method used.

To collect quantitative data, you will often need to use operational definitions that translate abstract concepts (e.g., mood) into observable and quantifiable measures (e.g., self-ratings of feelings and energy levels).

Note that quantitative research is at risk for certain research biases , including information bias , omitted variable bias , sampling bias , or selection bias . Be sure that you’re aware of potential biases as you collect and analyze your data to prevent them from impacting your work too much.

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Once data is collected, you may need to process it before it can be analyzed. For example, survey and test data may need to be transformed from words to numbers. Then, you can use statistical analysis to answer your research questions .

Descriptive statistics will give you a summary of your data and include measures of averages and variability. You can also use graphs, scatter plots and frequency tables to visualize your data and check for any trends or outliers.

Using inferential statistics , you can make predictions or generalizations based on your data. You can test your hypothesis or use your sample data to estimate the population parameter .

First, you use descriptive statistics to get a summary of the data. You find the mean (average) and the mode (most frequent rating) of procrastination of the two groups, and plot the data to see if there are any outliers.

You can also assess the reliability and validity of your data collection methods to indicate how consistently and accurately your methods actually measured what you wanted them to.

Quantitative research is often used to standardize data collection and generalize findings . Strengths of this approach include:

• Replication

Repeating the study is possible because of standardized data collection protocols and tangible definitions of abstract concepts.

• Direct comparisons of results

The study can be reproduced in other cultural settings, times or with different groups of participants. Results can be compared statistically.

• Large samples

Data from large samples can be processed and analyzed using reliable and consistent procedures through quantitative data analysis.

• Hypothesis testing

Using formalized and established hypothesis testing procedures means that you have to carefully consider and report your research variables, predictions, data collection and testing methods before coming to a conclusion.

Despite the benefits of quantitative research, it is sometimes inadequate in explaining complex research topics. Its limitations include:

• Superficiality

Using precise and restrictive operational definitions may inadequately represent complex concepts. For example, the concept of mood may be represented with just a number in quantitative research, but explained with elaboration in qualitative research.

• Narrow focus

Predetermined variables and measurement procedures can mean that you ignore other relevant observations.

• Structural bias

Despite standardized procedures, structural biases can still affect quantitative research. Missing data , imprecise measurements or inappropriate sampling methods are biases that can lead to the wrong conclusions.

• Lack of context

Quantitative research often uses unnatural settings like laboratories or fails to consider historical and cultural contexts that may affect data collection and results.

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

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

Research bias

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

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

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

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

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

Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

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SOC W 505/506 Foundations of Social Welfare Research

• What is a Research Proposal?
• Qualitative Research
• Quantitative Research
• General Research Methods
• IRB's and Research Ethics
• Data Management and Analysis

Information on Writing a Research Proposal

From the Sage Encyclopedia of Educational Research, Measurement and Evaluation:

Research proposals are written to propose a research project and oftentimes request funding, or sponsorship, for that research. The research proposal is used to assess the originality and quality of ideas and the feasibility of a proposed project. The goal of the research proposal is to convince others that the investigator has (a) an important idea; (b) the skills, knowledge, and resources to carry out the project; and (c) a plan to implement the project on time and within budget. This entry discusses the process of developing a research proposal and the elements of an effective proposal.

For a graduate student, a research proposal may be required to begin the dissertation process. This serves to communicate the research focus to others, such as members of the student’s dissertation committee. It also indicates the investigator’s plan of action, including a level of thoroughness and sufficient detail to replicate the study. The research proposal could also be considered as a contract, once members of the committee agree to the execution of the project.

Requirements may include:  an abstract, introduction, literature review, method section, and conclusion.  A research proposal has to clearly and concisely identify the proposed research and its importance. The background literature should support the need for the research and the potential impact of the findings.

The method section proposes a comprehensive explanation of the research design, including subjects, timeline, and data analysis. Research questions should be identified as well as measurement instruments and methods to answer the research questions. Proposals for research involving human subjects identify how the investigators will protect participants throughout their research project. 

Proposals often require engaging in an external review either by an external evaluator or advisory  board consisting of expert consultants in the field. References are included to provide documentation about the supporting literature identified in the proposal. Appendixes and supplemental materials may also be included, following the sponsoring organization’s guidelines. As a general rule, educational research proposals follow the American Psychological Association formatting guidelines and publishing standards. If funding is being requested, it is important for the proposal to identify how the research will benefit the sponsoring organization and its constituents.

The success of a research proposal depends on both the quality of the project and its presentation. A proposal may have specific goals, but if they are neither realistic nor desirable, the probability of obtaining funding is reduced. Similar to manuscripts being considered for journal articles, reviewers evaluate each research proposal to identify strengths and criticisms based on a general framework and scoring rubric determined by the sponsoring organization. Research proposals that meet the scoring criteria are considered for funding opportunities. If a proposal does not meet the scoring criteria, revisions may be necessary before resubmitting the proposal to the same or a different sponsoring organization.

Common mistakes and pitfalls can often be avoided in research proposal writing through awareness and careful planning. In an effective research proposal, the research idea is clearly stated as a problem and there is an explanation of how the proposed research addresses a demonstrable gap in the current literature. In addition, an effective proposal is well structured, frames the research question(s) within sufficient context supported by the literature, and has a timeline that is appropriate to address the focus and scope of the research project. All requirements of the sponsoring organization, including required project elements and document formatting, need to be met within the research proposal. Finally, an effective proposal is engaging and demonstrates the researcher’s passion and commitment to the research addressed.

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Writing Research Proposals

Chapter 28 Writing Research Proposals   http://evolve.elsevier.com/Grove/practice/ With a background in the quantitative, qualitative, outcomes, and intervention research methodologies, you are ready to propose a study. A research proposal is a written plan that identifies the major elements of a study, such as the research problem, purpose, and framework, and outlines the methods and procedures to conduct the proposed study. A proposal is a formal way to communicate ideas about a study to seek approval to conduct the study and obtain funding. Researchers who are seeking approval to conduct a study submit the proposal to a select group for review and, in many situations, verbally defend the proposal. Receiving approval to conduct research has become more complicated because of the increasing complexity of nursing studies, the difficulty involved in recruiting study participants, and increasing concerns over legal and ethical issues. In many large hospitals and healthcare corporations, both the lawyer and the institutional review board (IRB) evaluate the research proposals. The expanded number of healthcare studies being conducted has led to conflict among investigators over who has the right to recruit potential research participants. The increased number of proposed studies has resulted in greater difficulty in obtaining funding. Researchers need to develop a quality study proposal to facilitate university and clinical agency IRB approval, obtain funding, and conduct the study successfully. This chapter focuses on writing a research proposal and seeking approval to conduct a study. Chapter 29 presents the process of seeking funding for research. Writing a Research Proposal A well-written proposal communicates a significant, carefully planned research project; shows the qualifications of the researchers; and generates support for the project. Conducting research requires precision and rigorous attention to detail. Reviewers often judge a researcher’s ability to conduct a study by the quality of the proposal. A quality study proposal is clear, concise, and complete. Writing a quality proposal involves (1) developing ideas logically, (2) determining the depth or detail of the content of the proposal, (3) identifying critical points in the proposal, and (4) developing an esthetically appealing copy ( Martin & Fleming, 2010 ; Merrill, 2011 ; Offredy & Vickers, 2010 ). Developing Ideas Logically The ideas in a research proposal must logically build on each other to justify or defend a study, just as a lawyer would logically organize information in the defense of a client. The researcher builds a case to justify why a problem should be studied and proposes the appropriate methodology for conducting the study. Each step in the research proposal builds on the problem statement to give a clear picture of the study and its merit ( Merrill, 2011 ). Universities, medical centers, federal funding agencies, and grant writing consultants have developed websites to help researchers write successful proposals for quantitative, qualitative, outcomes, and intervention research. For example, the University of Michigan provides an online guide for proposal development ( http://www.drda.umich.edu/proposals/PWG/pwgcomplete.html ). The National Institute of Nursing Research (NINR, 2012 ) provides online training for developing nurse scientists at http://www.ninr.nih.gov/Training/OnlineDevelopingNurseScientists/ . You can use a search engine of your choice, such as Google, and search for research proposal development training; proposal writing tips; courses on proposal development; and proposal guidelines for different universities, medical centers, and government agencies. In addition, various publications have been developed to help individuals improve their scientific writing skills ( American Psychological Association [APA], 2010 ; Offredy & Vickers, 2010 ; Turabian, Booth, Colomb, & Williams, 2007 ; University of Chicago Press Staff, 2010 ). Determining the Depth of a Proposal The depth or detail of the content of a proposal is determined by guidelines developed by colleges or schools of nursing, funding agencies, and institutions where research is conducted. Guidelines provide specific directions for the development of a proposal and should be followed explicitly. Omission or misinterpretation of a guideline is frequently the basis for rejection or requiring revision. In addition to following the guidelines, you need to determine the amount of information necessary to describe each step of your study clearly. Often the reviewers of your proposal have varied expertise in the area of your study. The content in a proposal needs to be detailed enough to inform different types of readers yet concise enough to be interesting and easily reviewed ( Martin & Fleming, 2010 ). The guidelines often stipulate a page limit, which determines the depth of the proposal. The relevant content of a research proposal is discussed later in this chapter and varies based on the purpose of the proposal. Identifying Critical Points The key or critical points in a proposal must be evident, even to a hasty reader. You might highlight your critical points with bold or italicized type. Sometimes researchers create headings to emphasize critical content, or they may organize the content into tables or graphs. It is critical in a proposal to detail the background and significance of the research problem and purpose, study methodology, and research production plans (data collection and analysis plan, personnel, schedule, and budget) ( APA, 2010 ; Offredy & Vickers, 2010 ; Turabian et al., 2007 ). Developing an Esthetically Appealing Copy An esthetically appealing copy is typed without spelling, punctuation, or grammatical errors. A proposal with excellent content that is poorly typed or formatted is not likely to receive the full attention or respect of the reviewers. The format used in typing the proposal should follow the guidelines developed by the reviewers or organization. If no particular format is requested, researchers commonly follow APA (2010) format. An appealing copy is legible (the print is dark enough to be read) with appropriate tables and figures to communicate essential information. You need to submit the proposal by the means requested as a mailed hard copy, an email attachment, or uploaded file. Content of a Research Proposal The content of a proposal is written with the interest and expertise of the reviewers in mind. Proposals are typically reviewed by faculty, clinical agency IRB members, and representatives of funding institutions. The content of a proposal varies with the reviewers, the guidelines developed for the review, and the type of study (quantitative or qualitative) proposed. This section addresses the content of (1) a student proposal for both quantitative and qualitative studies, (2) condensed research proposals, and (3) preproposals. Content of a Student Proposal Student researchers develop proposals to communicate their research projects to the faculty and members of university and agency IRBs (see Chapter 9 for details on IRB membership and the approval process). Student proposals are written to satisfy requirements for a degree and are usually developed according to guidelines outlined by the faculty. The faculty member who will be assisting with the research project (the chair of the student’s thesis or dissertation committee) generally reviews these guidelines with the student. Each faculty member has a unique way of interpreting and emphasizing aspects of the guidelines. In addition, a student needs to evaluate the faculty member’s background regarding a research topic of interest and determine whether a productive working relationship can be developed. Faculty members who are actively involved in their own research have extensive knowledge and expertise that can be helpful to a novice researcher. Both the student and the faculty member benefit when a student becomes involved in an aspect of the faculty member’s research. This collaborative relationship can lead to the development of essential knowledge for providing evidenced-based nursing practice ( Brown, 2009 ; Craig & Smyth, 2012 ; Melnyk & Fineout-Overholt, 2011 ). The content of a student proposal usually requires greater detail than a proposal developed for an agency or funding organization. The proposal is often the first three or four chapters of the student’s thesis or dissertation, and the proposed study is discussed in the future tense—that is, what the student will do in conducting the research. A student research proposal usually includes a title page with the title of the proposal, the name and credentials of the investigator, university name, and the date. You need to devote time to developing the title so that it accurately reflects the scope and content of the proposed study ( Martin & Fleming, 2010 ). Content of a Quantitative Research Proposal A quantitative research proposal usually includes a table of contents that reflects the following chapters or sections: (1) introduction, (2) review of relevant literature, (3) framework, and (4) methods and procedures. Some graduate schools require in-depth development of these sections, whereas others require a condensed version of the same content. Another approach is that proposals for theses and dissertations be written in a format that can be transformed into a publication. Table 28-1 outlines the content often covered in the chapters of a student quantitative research proposal. TABLE 28-1 Quantitative Research Proposal Guidelines for Students Chapter I Introduction   A. Background and significance of the problem   B. Statement of the problem   C. Statement of the purpose Chapter II Review of Relevant Literature   A. Review of theoretical literature   B. Review of relevant research   C. Summary Chapter III Framework   A. Development of a framework   (Develop a map of the study framework, define concepts in the map, describe relationships or propositions in the map, indicate the focus of the study, and link concepts to study variables)   B. Formulation of objectives, questions, or hypotheses   C. Definitions (conceptual and operational) of study variables   D. Definition of relevant terms Chapter IV Methods and Procedures A. Description of the research design (Model of the design, strengths and weaknesses of the design validity) B. Identification of the population and sample (Sample size, use of power analysis, sample criteria, and sampling method including strengths and weaknesses) C. Selection of a setting (Strengths and weaknesses of the setting) D. Presentation of ethical considerations (Protection of subjects’ rights and university and healthcare agency review processes) E. Description of the intervention if appropriate for the type of study (Provide a protocol for implementing the intervention, detail who will implement the intervention, and describe how intervention fidelity is ensured) F. Selection of measurement methods (Reliability, validity, scoring, and level of measurement of the instruments as well as plans for examining reliability and validity of the instruments in the present study; precision and accuracy of physiological measures) G. Plan for data collection (Data collection process, training of data collectors if appropriate, schedule, data collection forms, and management of data) H. Plan for data analysis (Analysis of demographic data; analyses for research objectives, questions, or hypotheses; level of significance if appropriate; and other analysis techniques) I. Identification of limitations (Methodological and theoretical limitations) J. Discussion of communication of findings References Include references cited in the proposal and follow APA (2010) format Appendices Presentation of a study budget and timetable Introduction The introductory chapter identifies the research topic and problem and discusses their significance and background. The significance of the problem addresses its importance in nursing practice and the expected generalizability of the findings. The magnitude of a problem is partly determined by the interest of nurses; other healthcare professionals; policy makers; and healthcare consumers at the local, state, national, or international level. You can document this interest with sources from the literature. The background describes how the problem was identified and historically links the problem to nursing practice. Your background information might also include one or two major studies conducted to resolve the problem, some key theoretical ideas related to the problem, and possible solutions to the problem. The background and significance form the basis for your problem statement, which identifies what is not known and the need for further research. Follow your problem statement with a succinct statement of the research purpose or the goal of the study (see Chapter 5 ) ( Martin & Fleming, 2010 ; Merrill, 2011 ). Review of Relevant Literature The review of relevant literature provides an overview of the essential information that will guide you as you develop your study and includes relevant theoretical and empirical literature (see Table 28-1 ). Theoretical literature provides a background for defining and interrelating relevant study concepts, whereas empirical literature includes a summary and critical appraisal of previous studies. Here you will discuss the recommendations made by other researchers, such as changing or expanding a study, in relation to the proposed study. The depth of the literature review varies; it might include only recent studies and theorists’ works, or it might be extensive and include a description and critical appraisal of many past and current studies and an in-depth discussion of theorists’ works. The literature review might be presented in a narrative format or in a pinch table that summarizes relevant studies (see Chapter 6 ) ( Pinch, 1995 ). The literature review shows that you have a command of the current empirical and theoretical knowledge regarding the proposed problem ( Merrill, 2011 ; Offredy & Vickers, 2010 ). This chapter concludes with a summary. The summary includes a synthesis of the theoretical literature and findings from previous research that describe the current knowledge of a problem ( Merrill, 2011 ). Gaps in the knowledge base are also identified, with a description of how the proposed study is expected to contribute to the nursing knowledge needed for evidence-based practice. Framework A framework provides the basis for generating and refining the research problem and purpose and linking them to the relevant theoretical knowledge in nursing or related fields. The framework includes concepts and relationships among concepts or propositions, which are sometimes represented in a model or a map (see Chapter 7 ). Middle-range theories from nursing and other disciplines are frequently used as frameworks for quantitative studies, and the proposition or propositions to be tested from the theory need to be identified ( Smith & Liehr, 2008 ). The framework needs to include the concepts to be examined in the study, their definitions, and their link to the study variables (see Table 28-1 ). If you use another theorist’s or researcher’s model from a journal article or book, letters documenting permission to use this model from the publisher and the theorist or researcher need to be included in your proposal appendices. In some studies, research objectives, questions, or hypotheses are developed to direct the study (see Chapter 8 ). The objectives, questions, or hypotheses evolve from the research purpose and study framework, in particular the proposition to be tested, and identify the study variables. The variables are conceptually defined to show the link to the framework, and they are operationally defined to describe the procedures for manipulating or measuring the study variables. You also will need to define any relevant terms and to identify assumptions that provide a basis for your study. Methods and Procedures The researcher describes the design or general strategy for conducting the study, sometimes including a diagram of the design (see Chapter 11 ). Designs for descriptive and correlational studies are flexible and can be unique to the study being conducted ( Kerlinger & Lee, 2000 ). Because of this uniqueness, the descriptions need to include the design’s strengths and weaknesses. Presenting designs for quasi-experimental and experimental studies involves (1) describing how the research situation will be structured; (2) detailing the treatment to be implemented ( Chlan, Guttormson, & Savik, 2011 ); (3) explaining how the effect of the treatment will be measured; (4) specifying the variables to be controlled and the methods for controlling them; (5) identifying uncontrolled extraneous variables and determining their impact on the findings; (6) describing the methods for assigning subjects to the treatment group, comparison or control group, or placebo group; and (7) exploring the strengths and weaknesses of the design ( Shadish, Cook, & Campbell, 2002 ). The design needs to account for all the objectives, questions, or hypotheses identified in the proposal. If a pilot study is planned, the design should include the procedure for conducting the pilot and for incorporating the results into the proposed study (see Table 28-1 ). Your proposal should identify the target population to which your study findings will be generalized and the accessible population from which the sample will be selected. You need to outline the inclusion and exclusion criteria you will use to select a study participant or subject and present the rationale for these sample criteria. For example, a participant might be selected according to the following sample criteria: female, age 18 to 60 years, hospitalized, and 1 day status post abdominal surgery. The rationale for these criteria might be that the researcher wants to examine the effects of a selected pain management intervention on women who have recently undergone hospitalization and abdominal surgery. The sampling method and the approximate sample size are discussed in terms of their adequacy and limitations in investigating the research purpose ( Thompson, 2002 ). A power analysis usually is conducted to determine an adequate sample size to identify significant relationships and differences in studies (see Chapter 15 ) ( Aberson, 2010 ). A proposal includes a description of the proposed study setting, which frequently includes the name of the agency and the structure of the units or sites where the study is to be conducted. The specific setting is often identified in the proposal but not in the final research report. The agency you select should have the potential to generate the type and size of sample required for the study. Your proposal might include the number of individuals who meet the sample criteria and are cared for by the agency in a given time period. In addition, the structure and activities in the agency need to be able to accommodate the proposed design of the study. If you are not affiliated with this agency, it would be helpful if you had a letter of support for your study from the agency. Ethical considerations in a proposal include the rights of the subjects and the rights of the agency where the study is to be conducted. Describe how you plan to protect subjects’ rights as well as the risks and potential benefits of your study. Also, address the steps you will take to reduce any risks that the study might present. Many agencies require a written consent form, and that form is often included in the appendices of the proposal. With the implementation of the Health Insurance Portability and Accountability Act (HIPAA), healthcare agencies and providers must have a signed authorization form from patients to release their health information for research. You must also address the risks and potential benefits of the study for the institution ( Martin & Fleming, 2010 ; Offredy & Vickers, 2010 ). If your study places the agency at risk, outline the steps you will take to reduce or eliminate these risks. It is also necessary for you to state that the proposal will be reviewed by the thesis or dissertation committee, university IRB, and agency IRB. Some quantitative studies are focused on testing the effectiveness of an intervention, such as quasi-experimental studies or randomized controlled trials. In these types of studies, the elements of the intervention and the process for implementing the intervention must be detailed ( Bulecheck, Butcher, & Dochterman, 2008 ). You need to develop a protocol that details the elements of the intervention and the process for implementing them (see Chapter 14 and the example quasi-experimental study proposal at the end of this chapter). Intervention fidelity needs to be ensured during a study so that the intervention is consistently implemented to designated study participants ( Chlan et al., 2011 ; Santacroce, Maccarelli, & Grey, 2004 ). Describe the methods you will use to measure study variables, including each instrument’s reliability, validity, methods of scoring, and level of measurement (see Chapter 16 ). A plan for examining the reliability and validity of the instruments in the present study needs to be addressed. If an instrument has no reported reliability and validity, you may need to conduct a pilot study to examine these qualities. If the intent of the proposed study is to develop an instrument, describe the process of instrument development ( Waltz, Strickland, & Lenz, 2010 ). If physiological measures are used, address the accuracy, precision, sensitivity, selectivity, and error rate of the instrument ( Ryan-Wenger, 2010 ). A copy of the interview questions, questionnaires, scales, physiological measures, or other tools to be used in the study is usually included in the proposal appendices (see Chapter 17 ). You must obtain permission from the authors to use copyrighted instruments, and letters documenting that permission has been obtained must be included in the proposal appendices. The data collection plan clarifies what data are to be collected and the process for collecting the data. In this plan you will identify the data collectors, describe the data collection procedures, and present a schedule for data collection activities. If more than one person will be involved in data collection, it is important to describe methods used to train your data collectors to ensure consistency. The method of recording data is often described, and sample data recording sheets are placed in the proposal appendices. Also, discuss any special equipment you will use or develop to collect data for the study, and address data security, including the methods of data storage (see Chapter 20 ). The plan for data analysis identifies the analysis techniques that will be used to summarize the demographic data and answer the research objectives, questions, or hypotheses. The analysis section is best organized by the study objectives, questions, or hypotheses. The analysis techniques identified need to be appropriate for the type of data collected ( Grove, 2007 ). For example, if an associative hypothesis is developed, correlational analysis is planned. If a researcher plans to determine differences among groups, the analysis techniques might include a t -test or analysis of variance (ANOVA) ( Munro, 2005 ). A level of significance (α = 0.05, 0.01, or 0.001) is also identified (see Chapters 21 through 25 ). Often, a researcher projects the type of results that will be generated from data analysis. Dummy tables, graphs, and charts can be developed to present these results and are included in the proposal appendices if required by the guidelines. The researcher might project possible findings for a study and indicate what support or nonsupport of a proposed hypothesis would mean in light of the study framework and previous research findings. The methods and procedures chapter of a proposal usually concludes with a discussion of the study’s limitations and a plan for communication of the findings. Both methodological and theoretical limitations are addressed. Methodological limitations might include areas of weakness in the design, sampling method, sample size, measurement tools, data collection procedures, or data analysis techniques; theoretical limitations set boundaries for the generalization of study findings. The accuracy with which the conceptual definitions and relational statements in a theory reflect reality has a direct impact on the generalization of study findings. Theory that has withstood frequent testing through research provides a stronger framework for the interpretation and generalization of findings. A plan is included for communicating the research through presentations to audiences of nurses, other health professionals, policy makers, and healthcare consumers and publication (see Chapter 27 ). A budget and timetable are frequently included in the proposal appendices. The budget projects the expenses for the study, which might include the cost for data collection tools and procedures; special equipment; consultants for data analysis; computer time; travel related to data collection and analysis; typing; copying; and developing, presenting, and publishing the final report. Study budgets requesting external funding for researchers’ time include investigators’ salaries and secretarial costs. You need a timetable to direct the steps of your research project and increase the chance that you will complete the project on schedule. A timetable identifies the tasks to be done, who will accomplish these tasks, and when these tasks will be completed. An example proposal for a quasi-experimental study is presented at the end of this chapter to guide you in developing your study proposal. Content of a Qualitative Research Proposal Qualitative research proposal guidelines are unique for the development of knowledge and theories using various qualitative research methods. A qualitative proposal usually includes the following content areas: (1) introduction; (2) research philosophy and general method; (3) applied method of inquiry; and (4) current knowledge, limitations, and plans for communication of the study findings ( Marshall & Rossman, 2011 ; Munhall, 2012 ; Patton, 2002 ; Sandelowski, Davis, & Harris, 1989 ). Guidelines are presented in Table 28-2 to assist you in developing a qualitative research proposal. TABLE 28-2 Qualitative Research Proposal Guidelines for Students Chapter I Introduction   A. Identify the phenomenon to be studied   B. Identify the study purpose or aim and its significance   C. State the study questions or objectives   D. Describe the evolution of the study    1. Provide a rationale for conducting study    2. Place the study in context historically    3. Discuss the researcher’s experience with phenomenon    4. Discuss the relevance of the study to nursing Chapter II Philosophical and Conceptual Foundation and General Method for the Proposed Study   A. Identify the type of qualitative research (phenomenological research, grounded theory research, ethnographic research, exploratory-descriptive qualitative research, and historical research) to be conducted   B. Describe the philosophical and theoretical basis for the research method   C. Explain the research assumptions   D. Discuss the general steps, procedures, and outcomes for this method   E. Translation of concepts or terms Chapter III Method of Inquiry   A. Demonstrate the researcher’s credentials for conducting this qualitative study   B. Select a site and population   C. Describe the plan for the researcher’s role in the following    1. Entry into the site and approval to collect data    2. Selection of study participants    3. Ethical considerations   D. Describe the plan for data collection    1. Data to be collected    2. Procedures for data collection    3. Procedures for recording data during data collection   E. Describe the plan for data analysis conducted with data collection    1. Steps for coding information    2. Use of specific data analysis procedures advanced in the specific research method (phenomenology research, grounded theory research, ethnography research, exploratory-descriptive qualitative research, and historical research)    3. Steps to be taken to verify the information Chapter IV Current Knowledge, Limitations, and Plans for Communication of the Study A. Summarize and reference relevant literature as appropriate for the type of qualitative study B. Disclose anticipated findings, hypotheses, and hunches C. Discuss procedures to remain open to unexpected information D. Discuss limitations of the study E. Identify plans for communication of findings ( Marshall & Rossman, 2011 ; Munhall, 2012 ) References Include references cited in the proposal and follow APA (2010) format Appendices Present the study budget and timetable Introduction The introduction usually provides a general background for the proposed study by identifying the phenomenon, clinical problem, issue, or situation to be investigated and linking it to nursing knowledge. The general aim or purpose of the study is identified and provides the focus for the qualitative study to be conducted. The study purpose might be followed by research questions that direct the investigation ( Munhall, 2012 ; Offredy & Vickers, 2010 ). For example, a possible aim or purpose for an ethnographic study might be to “describe the coping processes of Mexican American adults with type 2 diabetes receiving care in a federally funded clinic.” The research questions might focus on the influences of real-world problems, cultural elements, and the clinic environment on the coping processes of these adults. Thus, the study questions might include any of the following: How do Mexican American adults respond to a new diagnosis of type 2 diabetes? What is the impact of type 2 diabetes on Mexican American adults and their families over time? What community, clinic, and family types of support exist for Mexican American adults with type 2 diabetes? What does it mean to Mexican American adults to have their diabetes under control? The introduction also includes the evolution of the study and its significance to nursing practice, patients, the healthcare system, and health policy. The discussion of the evolution of the study often includes how the problem developed (historical context), who or what is affected by the problem, and the researcher’s experience with the problem (experiential context). Whenever possible, the significance and evolution of the study purpose needs to be documented from the literature ( Munhall, 2012 ). The significance of a study may include the number of people affected, how this phenomenon affects health and quality of life, and the consequences of not understanding this phenomenon. Marshall and Rossman (2011) identified the following questions to assess the significance of a study: (1) Who has an interest in this domain of inquiry? (2) What do we already know about the topic? (3) What has not been answered adequately in previous research and practice? (4) How will this research add to knowledge, practice, and policy in this area? The introduction section concludes with an overview of the remaining sections that are covered in the proposal. Philosophical and Conceptual Foundation and General Methods for the Proposed Study This section introduces the philosophical and conceptual foundation for the qualitative research method (phenomenological research, ethnographic research, grounded theory research, exploratory-descriptive qualitative research, or historical research) selected for the proposed study. The researcher provides a rationale for the qualitative method selected and discusses its ability to generate the knowledge needed in nursing (see Table 28-1 ). The investigator introduces the philosophy, essential elements of the philosophy, and the assumptions for the specific type of qualitative research to be conducted. The philosophy varies for the different types of qualitative research and guides the conduct of the study. For example, a proposal for a phenomenological study might indicate the purpose of the study is to understand the experience of young and middle-aged women receiving news about a family BRCA 1/2 genetic mutation. “The specific study aims are to (a) describe the experiences of women learning about a family BRCA 1/2 mutation, (b) describe the meaning of genetic risk to female biologic relatives of BRCA 1/2 mutation carriers, and (3) gain an understanding of practical knowledge used in living with risk” ( Crotser & Dickerson, 2010 , p. 367). Genetic testing has determined that 5% to 10% of breast cancers are caused by inherited gene mutations such as BRCA 1 or BRCA 2 . “Heideggerian hermeneutic phenomenology was selected to guide this study.… By listening to the stories of women who lived the experience, HCPs [healthcare providers] will understand the meaning of living with risk through the language used to express their life view ( Heidegger, 1975 )” ( Crotser & Dickerson, 2010 , p. 358). Assumptions about the nature of the knowledge and the reality that underlie the type of qualitative research to be conducted are also identified. The assumptions and philosophy provide a theoretical perspective for the study that influences the focus of the study, data collection and analysis, and articulation of the findings. Method of Inquiry Developing and implementing the methodology of qualitative research require an expertise that some believe can be obtained only through a mentorship relationship with an experienced qualitative researcher. The role of the researcher and the intricate techniques of data collection and analysis are thought to be best communicated through a one-to-one relationship. Thus, planning the methods of a qualitative study requires knowledge of relevant sources that describe the different qualitative research techniques and procedures ( Marshall & Rossman, 2011 ; Miles & Huberman, 1994 ; Munhall, 2012 ; Patton, 2002 ), in addition to requiring interaction with a qualitative researcher. The proposal needs to reflect the researcher’s credentials for conducting the particular type of qualitative study proposed (see Chapter 12 for details on qualitative research methods). Identifying the methods for conducting a qualitative study is a difficult task because sometimes the specifics of the study design emerge during the study. In contrast to quantitative research, in which the design is a fixed blueprint for a study, the design in qualitative research emerges or evolves as the study is conducted. You must document the logic and appropriateness of the qualitative method and develop a tentative plan for conducting your study. Because this plan is tentative, researchers reserve the right to modify or change the plan as needed during the conduct of the study ( Sandelowski et al., 1989 ). However, the design or plan must be (1) consistent with the philosophical approach, study purpose, and specific research aims or questions; (2) be well conceived; and (3) address prior criticism, as appropriate ( Fawcett & Garity, 2009 ). The tentative plan describes the process for selecting a site and population and the initial steps taken to gain access to the site. Having access to the site includes establishing relationships that facilitate recruitment of the participants necessary to address the research purpose and answer the research questions. For the research question, “How do Mexican American adults cope with a new diagnosis of type 2 diabetes while receiving care in federally funded clinics?” the participants might be identified in a specific clinic or by contacting particular healthcare providers. Although initial contact might be made through a clinic, the interviews and observations might occur in the community, at family gatherings, or in the participants’ homes. The researcher must gain entry into the setting, develop a rapport with the participants that will facilitate the detailed data collection process, and protect the rights of the participants ( Marshall & Rossman, 2011 ; Sandelowski et al., 1989 ). You need to address the following questions in describing the researcher’s role: (1) What is the best setting for the study? (2) How will I ease my entry into the research site? (3) How will I gain access to the participants? (4) What actions will I take to encourage the participants to cooperate? (5) What precautions will I take to protect the rights of the participants and to prevent the setting and the participants from being harmed? You need to describe the process you will follow to obtain informed consent and the actions you will take to decrease study risks. The sensitive nature of some qualitative studies increases the risk for participants, which makes ethical concerns and decisions a major focus of the proposal ( Munhall, 2012 ; Patton, 2002 ). The primary data collection techniques used in qualitative research are observation and in-depth interviewing. Observations can range from highly detailed, structured notations of behaviors to ambiguous descriptions of behaviors or events. The interview can range from structured, closed-ended questions to unstructured, open-ended questions ( Marshall & Rossman, 2011 ; Munhall, 2012 ). You need to address the following questions when describing the proposed data collection process: (1) What data will be collected? For example, will the data be field notes from memory, audio recordings of interviews, transcripts of conversations, DVDs of events, or examination of existing documents? (2) What techniques or procedures will the research team use to collect the data? For example, if interviews are to be conducted, will a list of the proposed questions be included in the appendix? (3) Who will collect data and provide any training required for the data collectors? (4) Where will sources of data be located? In historical research, data are collected through an exhaustive review of published and unpublished literature. (5) How will the data be recorded and stored? The methods section also needs to address how you will document the research process. For example, you might keep a research journal or diary during the course of the study. These notes can document the day-to-day activities, methodological events, decision-making procedures, and personal notes about the informants. This information becomes part of the audit trail that you can provide to ensure the quality of the study ( Miles & Huberman, 1994 ; Munhall, 2012 ; Patton, 2002 ). The methods section of the proposal also includes the analysis techniques and the steps for conducting these techniques. In qualitative research, data collection and analysis often occur simultaneously. The data are usually in the form of notes, digital files, audio recordings, DVDs, and other material obtained from observation, interviews, and completing questionnaires. Through qualitative analysis techniques, these data are organized to promote understanding and determine meaning (see Chapter 12 ) ( Patton, 2002 ). Researchers also need to identify software programs they plan to use for data analysis. Current Knowledge Base, Limitations, and Plans for Communication of the Study This section of the proposal summarizes and documents all relevant literature that was reviewed for the study. Similar to quantitative research, qualitative studies require a literature review to provide a basis for the study purpose and to clarify how this study will expand nursing knowledge ( Marshall & Rossman, 2011 ; Munhall, 2012 ). This initial literature review is often conducted to establish the significance of the study and to develop research questions to guide the study. In phenomenological and grounded theory research, an additional literature review is usually conducted toward the end of the research project. The findings from a phenomenological study are compared and combined with findings from the literature to contribute to the current knowledge of the phenomenon. In grounded theory research, the literature is used to explain, support, and extend the theory generated in the study ( Glaser & Strauss, 1965 ). In all types of qualitative studies, the findings obtained are examined in light of the existing literature (see Chapter 4 ). You need to describe how the literature reviewed has influenced your proposed research methods. Biases and previous experience with the research problem need to be addressed, as does their potential impact on the proposed study. Often, anticipated findings, hypotheses, and hunches are identified before the study is conducted, followed by a discussion of the procedures that might be used to remain open to new information. You will also need to address the limitations of your proposed study in the context of limitations of similar studies. Conclude your proposal by describing how you plan to communicate your findings to various audiences through presentations and publications. Often, a realistic budget and timetable are provided in the appendix. A qualitative study budget is similar to a quantitative study budget and includes costs for data collection tools, software, and recording devices; consultants for data analysis; travel related to data collection and analysis; transcription of recordings; copying related to data collection and analysis; and developing, presenting, and publishing the final report. However, one of the greatest expenditures in qualitative research is the researcher’s time. Develop a timetable to project how long the study will take; often a period of 2 years or more is designated for data collection and analysis ( Marshall & Rossman, 2011 ; Munhall, 2012 ; Patton, 2002 ). You can use your budget and timetable to make decisions regarding the need for funding. Excellent websites have been developed to assist novice researchers in identifying an idea for qualitative study and developing a qualitative research proposal and reports (see www.nova.edu/ssss/QR/qualres.html ). The Office of Behavior and Social Sciences Research within the National Institutes of Health has a website to assist researchers in developing qualitative and quantitative research proposals for funding ( http://grants.nih.gov/grants/writing_application.htm ). You can use these websites and other publications to promote the quality of your qualitative research proposal. The quality of a proposal is based on the potential scientific contribution of the research to nursing knowledge; the research philosophy guiding the study; the research methods; and the knowledge, skills, and resources available to the investigators ( Marshall & Rossman, 2011 ; Munhall, 2012 ; Patton, 2002 ).

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Designing a Research Proposal in Qualitative Research

• First Online: 27 October 2022

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• Md. Ismail Hossain 4 ,
• Nafiul Mehedi 4 &
• Iftakhar Ahmad 4  

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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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Department of Social Work, Shahjalal University of Science and Technology, Sylhet, Bangladesh

Md. Ismail Hossain, Nafiul Mehedi & Iftakhar Ahmad

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Centre for Family and Child Studies, Research Institute of Humanities and Social Sciences, University of Sharjah, Sharjah, United Arab Emirates

M. Rezaul Islam

Department of Development Studies, University of Dhaka, Dhaka, Bangladesh

Niaz Ahmed Khan

Department of Social Work, School of Humanities, University of Johannesburg, Johannesburg, South Africa

Rajendra Baikady

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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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DOI : https://doi.org/10.1007/978-981-19-5441-2_18

Published : 27 October 2022

Publisher Name : Springer, Singapore

Print ISBN : 978-981-19-5219-7

Online ISBN : 978-981-19-5441-2

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