After completing this chapter, you should be able to:
1. Define terms relevant to the quantitative research process: basic research, applied research, rigor, and control.
2. Compare and contrast the problem-solving process, nursing process, and research process.
3. Identify the steps of the quantitative research process in descriptive, correlational, quasi-experimental, and experimental published studies.
5. Conduct an initial critical appraisal of a research report.
Be sure to visit http:/elsevier.com/evolve/Burns/understanding for additional examples and self-tests. Also, a review of this chapter’s concepts and practice exercises can be found in Chapter 2 of the Study Guide for Understanding Nursing Research: Building an Evidence-Based Practice, 5th edition.
What do you think of when you hear the word research? Frequently, the idea of experimentation comes to mind. Typical features of an experiment include randomizing subjects into groups, collecting data, and conducting statistical analyses. You may think of researchers conducting an experiment to determine the effectiveness of an intervention, such as determining the effectiveness of a walking exercise program on body mass index (BMI) of patients with type 2 diabetes. These ideas are associated with quantitative research. Quantitative research includes specific steps that are detailed in research reports. Reading and critically appraising quantitative studies require learning new terms, understanding the steps of the quantitative research process, and applying a variety of analytical skills.
This chapter provides an introduction to quantitative research to promote the development of expertise in reading quantitative research reports. Relevant terms are defined, and the problem-solving and nursing processes are presented to provide a background for understanding the quantitative research process. The steps of the quantitative research process are introduced, and a descriptive correlational study is presented as an example to promote understanding of the process. Also included are a discussion of the critical thinking skills needed for reading research reports and guidelines for conducting an initial critical appraisal of these reports. The chapter concludes with the identification of the steps of the research process from published quasi-experimental and experimental studies with an initial critical appraisal of these studies.
Quantitative research is a formal, objective, rigorous, systematic process for generating numerical information about the world. Quantitative research is conducted to describe new situations, events, or concepts; examine relationships among variables; and determine the effectiveness of treatments in the world. Some examples are:
1. Describing the spread of swine flu and its potential influence on global health (descriptive study)
2. Examining the relationships among the variables—minutes watching television per week, minutes playing video games per week, and BMI of a school age child (correlational study)
3. Determining the effectiveness of calcium with vitamin D3 on the bone density of patients (quasi-experimental study)
The classic experimental designs to test the effectiveness of treatments were originated by Sir Ronald Fisher (1935). He is noted for adding structure to the steps of the quantitative research process with such ideas as the hypothesis, research design, and statistical analysis. Fisher’s studies provided the groundwork for what is now known as experimental research.
Throughout the years, a number of other quantitative approaches have been developed. Campbell and Stanley (1963) developed quasi-experimental approaches to study the effects of treatments under less controlled conditions. Karl Pearson (Porter, 2004) developed statistical approaches for examining relationships between variables, which increased the conduct of correlational research. The fields of sociology, education, and psychology are noted for their development and expansion of strategies for conducting descriptive research. A broad range of quantitative research approaches is needed to develop the empirical knowledge essential for evidence-based nursing practice (Brown, 2009; Craig & Smyth, 2007). This section introduces you to the different types of quantitative research and provides definitions of terms relevant to the quantitative research process.
Four types of quantitative research are included in this textbook:
The type of quantitative research conducted is influenced by the current knowledge of a research problem. When little knowledge is available, descriptive studies often are conducted. As the knowledge level increases, correlational, quasi-experimental, and experimental studies are conducted.
Descriptive research is the exploration and description of phenomena in real-life situations. It provides an accurate account of characteristics of particular individuals, situations, or groups (Kerlinger & Lee, 2000). Descriptive studies are usually conducted with large numbers of subjects, in natural settings, with no manipulation of the situation in anyway. Through descriptive studies, researchers discover new meaning, describe what exists, determine the frequency with which something occurs, and categorize information. The outcomes of descriptive research include the description of concepts, identification of possible relationships between concepts, and development of hypotheses that provide a basis for future quantitative research.
Correlational research involves the systematic investigation of relationships between or among variables. To do this, the researcher measures the selected variables in a sample and then uses correlational statistics to determine the relationships among the variables. Using correlational analysis, the researcher is able to determine the degree or strength and type (positive or negative) of a relationship between two variables. The strength of a relationship varies, ranging from −1 (perfect negative correlation) to +1 (perfect positive correlation), with 0 indicating no relationship (Grove, 2007).
The positive relationship indicates that the variables vary together; that is, both variables either increase or decrease together. For example, research has shown that the more people smoke, the more lung damage they experience. The negative relationship indicates that the variables vary in opposite directions; thus, as one variable increases, the other will decrease (Grove, 2007). As an example, research has shown that an increase in the number of smoking pack-years (number of years smoked times the number of packs smoked per day) is correlated with a decrease in life span. The primary intent of correlational studies is to explain the nature of relationships in the real world, not to determine cause and effect (Porter, 2004). However, the relationships identified with correlational studies are the means for generating hypotheses to guide quasi-experimental and experimental studies that do focus on examining cause-and-effect relationships.
The purpose of quasi-experimental research is to examine causal relationships or determine the effect of one variable on another. Thus, these studies involve implementing a treatment and examining the effects of this treatment using selected methods of measurement (Cook & Campbell, 1979). In nursing research, a treatment is an intervention implemented by researchers to improve the outcomes of clinical practice. For example, a treatment of a swimming exercise program might be implemented to improve the balance and muscle strength of elderly women. Quasi-experimental studies differ from experimental studies by the level of control achieved by the researcher. Quasi-experimental studies usually lack a certain amount of control over the manipulation of the treatment, management of the setting, and/or selection of the subjects. When studying human behavior, especially in clinical settings, researchers frequently are unable to randomly select the subjects or manipulate or control certain variables related to the subjects or the setting. Thus, nurse researchers conduct more quasi-experimental studies than experimental studies.
Experimental research is an objective, systematic, highly controlled investigation for the purpose of predicting and controlling phenomena in nursing practice. In an experimental study, causality between the independent and the dependent variables is examined under highly controlled conditions (Kerlinger & Lee, 2000). Experimental research is the most powerful quantitative method because of the rigorous control of variables. The three main characteristics of experimental studies are: (1) controlled manipulation of at least one treatment variable (independent variable); (2) exposure of some of the subjects to the treatment (experimental group), and no exposure of the remaining subjects (control group); and (3) random assignment of subjects to either the control or experimental group. Random selection of subjects and the conduct of the study in a laboratory or research facility strengthen control in an experimental study. The degree of control achieved in experimental studies varies according to the population studied, the variables examined, and the environment of the study.
Understanding quantitative research requires comprehension of the following important terms: basic research, applied research, rigor, and control. These terms are defined in the following sections with examples provided from published studies.
Basic research (or pure research) is scientific investigation that involves the pursuit of “knowledge for knowledge’s sake” or for the pleasure of learning and finding truth (Miller & Salkind, 2002). Basic scientific investigation seeks new knowledge about health phenomena with the hope of establishing general principles. The purpose of basic research is to generate and refine theory; thus, the findings frequently are not directly useful in practice (Wysocki, 1983). Basic nursing research focused on physiological or pathological variables might include laboratory investigations in animals or humans to develop principles regarding physiological functioning or pathologic processes or the effects of treatments on physiological and pathological functioning. These studies might focus on increasing understanding of oxygenation, perfusion, fluid and electrolyte balance, acid-base status, eating and sleeping patterns, and comfort status, as well as pathophysiology of the immune system (Bond & Heitkemper, 1987).
You might conduct an initial critical appraisal of quantitative studies and identify if basic or applied research was conducted. Yamakage, Iwasaki, Jeong, Satoh, and Namiki (2009) conducted basic research to examine the safe use of selective drugs in animals with airway hyperreactivity. This study is introduced and then critically appraised using the following questions.
Applied research (or practical research) is scientific investigation conducted to generate knowledge that will directly influence or improve clinical practice. The purpose of applied research is to solve problems, make decisions, or predict or control outcomes in real-life practice situations. The findings from applied studies also can be invaluable to policy makers as a basis for making changes to address health and social problems (Miller & Salkind, 2002). Many of the studies conducted in nursing are applied because researchers have chosen to focus on clinical problems and the testing of nursing interventions to improve patient outcomes. Applied research also is used to test theory and validate its usefulness in clinical practice. Researchers often examine the new knowledge discovered through basic research for usefulness in practice by applied research, making these approaches complementary (Wysocki, 1983). An example of applied research is on the next page.
Rigor is the striving for excellence in research, and it requires discipline, adherence to detail, and strict accuracy. A rigorously conducted quantitative study has precise measuring tools, a representative sample, and a tightly controlled study design. Critically appraising the rigor of a study involves examining the reasoning and precision used in conducting the study. Logical reasoning, including deductive and inductive reasoning, is essential to the development of quantitative studies. The research process includes specific steps that are developed with meticulous detail and are logically linked. These steps, such as design, measurement, sample, data collection, and statistical analysis, need to be examined for weaknesses and errors.
Another aspect of rigor is precision, which encompasses accuracy, detail, and order. Precision is evident in the concise statement of the research purpose and detailed development of the study design. But the most explicit example of precision is the measurement or quantification of the study variables. For example, a researcher might use a cardiac monitor to measure and record the heart rate of subjects during an exercise program, rather than palpating a radial pulse for 30 seconds and recording it on a data collection sheet. In the Lacey et al. (2008) study, the child’s crying time might be a more objective and precise measure of fear than paper and pencil scales like the CMFS and Fearmometer completed by the children.
Control involves the imposing of rules by the researcher to decrease the possibility of error, thereby increasing the probability that the study’s findings are an accurate reflection of reality. The rules used to achieve control in research are referred to as design. Thus, quantitative research includes various degrees of control, ranging from uncontrolled to highly controlled, depending on the type of study (Table 2–1). Descriptive and correlational studies often are designed with little or no researcher control because subjects are examined as they exist in their natural setting, such as home, work, school, or a health clinic. Quasi-experimental studies focus on determining the effectiveness of a treatment (independent variable) in producing a desired outcome (dependent variable) in a partially controlled setting. Thus, these studies are conducted with more control in the selection of subjects, implementation of the treatment, and measurement of the dependent variables. However, experimental studies are the most highly controlled type of quantitative research conducted to examine the effect of treatments on dependent variables. Experimental studies often are conducted on subjects in experimental units in healthcare agencies or on animals in laboratory settings (see Table 2–1).
Table 2–1
Control in Quantitative Research
| Type of Quantitative Research | Researcher Control Treatment and Extraneous Variables | Research Setting |
| Descriptive | No treatment | Natural or partially controlled setting |
| Correlational | No treatment | Natural or partially controlled setting |
| Quasi-experimental | Controlled treatment and extraneous variables | Partially controlled setting |
| Experimental | Highly controlled treatment and extraneous variables | Laboratory or research unit |
Through control, the researcher can reduce the influence of extraneous variables. Extraneous variables exist in all studies and can interfere with obtaining a clear understanding of the relationships among the study variables. For example, if a study focused on the effect of relaxation therapy on perception of incisional pain, the researchers would have to control the extraneous variables (such as type of surgical incision and time, amount, and type of pain medication administered following surgery) to prevent their influence on the patient’s perception of pain. Selecting only patients with abdominal incisions who are hospitalized and intravenously receiving only one type of pain medication after surgery would control some of these extraneous variables. In critically appraising quantitative studies, try to determine if the study was designed to decrease the influence of extraneous variables through the selection of subjects (sampling) and the research setting. Controlling extraneous variables enables the researcher to more accurately determine the effect of an independent or treatment variable on a dependent or outcome variable.
Sampling is a process of selecting subjects who are representative of the population being studied. Random sampling usually provides a sample that is representative of a population because each member of the population is selected independently and has an equal chance or probability of being included in the study. In quantitative research, both random and nonrandom samples are used. Descriptive studies often are conducted with nonrandom or nonprobability samples, in which the subjects are selected on the basis of convenience. Correlation and quasi-experimental studies include either nonrandom or random sampling methods, but having a randomly selected sample strengthens highly controlled experimental studies. A randomly selected sample is very difficult to obtain in nursing research, so quantitative studies often are conducted with convenience samples. To increase the control and rigor of a study and decrease the potential for bias (slanting of findings away from what is true or accurate), the subjects who are part of a convenience sample often are randomly assigned to the treatment group or the control (no treatment) group in quasi-experimental and experimental studies. Lacey and colleagues’ (2008) study was strengthen by the random assignment of the children to either the sitting or supine position for their immunization injections.
The setting is the location in which a study is conducted. There are three common settings for conducting research: Natural, partially controlled, and highly controlled (see Table 2–1). A natural setting, or field setting, is an uncontrolled, real-life situation or environment (Miller & Salkind, 2002). Conducting a study in a natural setting means that the researcher does not manipulate or change the environment for the study. Descriptive and correlational studies often are conducted in natural settings. A partially controlled setting is an environment that the researcher has manipulated or modified in some way. An increasing number of nursing studies are occurring in partially controlled settings. Lacey and colleagues (2008) conducted their study in a general pediatric clinic within a Midwest hospital. This partially controlled setting was selected to limit the effects of extraneous variables on the study outcomes. Children in one group were sitting for their immunization injections and children in the other group were supine. The exam rooms were similar for both groups and included the parent and a health professional to limit the impact of the environment on the child’s fear.
A highly controlled setting is an artificially constructed environment developed for the sole purpose of conducting research. Laboratories, research or experimental centers, and test units in hospitals or other healthcare agencies are highly controlled settings in which experimental studies often are conducted. This type of setting reduces the influence of extraneous variables, which enables the researcher to examine accurately the effect of one variable on another. Yamakage et al. (2009) conducted their study with guinea pigs in a laboratory setting. This setting is highly controlled by the researchers, which results in limited effects by extraneous variables in the environment. Using animals in a study ensures that the subjects are similar for the treatment and control groups, which limits the effects of extraneous variables in the sampling process.
Research is a process, and it is similar in some ways to other processes. Therefore, the background acquired early in nursing education in problem solving and the nursing process also is useful in research. A process includes a purpose, a series of actions, and a goal. The purpose provides direction for the implementation of a series of actions to achieve an identified goal. The specific steps of the process can be revised and reimplemented in order to reach the endpoint or goal. Table 2–2 presents the problem-solving process, nursing process, and research process. Relating the research process to problem solving and the nursing process may be helpful in understanding the steps of the quantitative research process.
Table 2–2
Comparison of the Problem-Solving Process, Nursing Process, and Research Process
| Problem-Solving Process | Nursing Process | Research Process |
| Data Collection | Assessment | Knowledge of Nursing World |
| Problem Definition | Nursing Diagnosis | Problem and Purpose Identification |
| Plan | Plan | Methodology |
| Implementation | Implementation | Implementation |
| Evaluation and Revision | Evaluation and Modification | Outcomes, Communication, and Synthesis of Study Findings to Promote Evidence-Based Nursing Practice |

The problem-solving process involves the systematic identification of a problem, determination of goals related to the problem, identification of possible approaches to achieve those goals (planning), implementation of selected approaches, and evaluation of goal achievement. Problem solving frequently is used in daily activities and nursing practice. For example, you use problem solving when you select your clothing, decide where to live, or turn a patient with a fractured hip.
The nursing process is a subset of the problem-solving process. The steps of the nursing process are assessment, diagnosis, planning, implementation, evaluation, and modification (see Table 2–2). Assessment involves the collection and interpretation of data for the development of nursing diagnoses. These diagnoses guide the remaining steps of the nursing process, just as the step of identifying the problem, directs the remaining steps of the problem-solving process. The planning step in the nursing process is the same as in the problem-solving process. Both processes involve implementation (putting the plan into action) and evaluation (determining the effectiveness of the process). If the process is ineffective, the nurse reviews all steps and revises (modifies) as necessary. The nurse implements the process until the problems/diagnoses are resolved and the identified goals are achieved.
The nursing process and research process have important similarities and differences. The two processes are similar because they both involve abstract, critical thinking and complex reasoning (Wilkinson, 2006). These processes help to identify new information, discover relationships, and make predictions about phenomena. In both processes, information is gathered, observations are made, problems are identified, plans are developed (methodology), and actions are taken (data collection and analysis). Both processes are reviewed for effectiveness and efficiency; the nursing process is evaluated, and outcomes are determined in the research process (see Table 2–2). Implementing the two processes expands and refines the user’s knowledge. With this growth in knowledge and critical thinking, the user is able to implement increasingly complex nursing processes and studies.
The research and nursing processes also have definite differences. Knowledge of the nursing process will assist you in understanding the research process. However, the research process is more complex than the nursing process. It requires an understanding of a unique language and involves the rigorous application of a variety of research methods (Burns, 1989; Burns & Grove, 2009). The research process also has a broader focus than that of the nursing process, in which the nurse focuses on a specific patient and family. During the research process, the researcher focuses on large groups of individuals, such as a population of patients with hypertension. In addition, researchers must be knowledgeable about the world of nursing to identify problems that require study. This knowledge comes from clinical and other personal experiences and by conducting a review of the literature.
The theoretical underpinnings of the research process are much stronger than those of the nursing process. All steps of the research process are logically linked to each other, as well as to the theoretical foundations of the study. The conduct of research requires greater precision, rigor, and control than are needed in implementation of the nursing process. The outcomes from research frequently are shared with a large number of nurses and other healthcare professionals through presentations and publications. In addition, the outcomes from several studies can be synthesized to provide sound evidence for nursing practice (Brown, 2009; Melnyk & Fineout-Overholt, 2005; Whittemore, 2005).
The quantitative research process involves conceptualizing a research project, planning and implementing that project, and communicating the findings. Figure 2–1 identifies the steps of the quantitative research process that usually are included in a research report. This figure indicates the logical flow of the process as one step builds progressively on another. The steps of the quantitative research process are briefly reviewed here; Chapters 4 to 11 discuss them in detail. The descriptive correlational study conducted by Hulme and Grove (1994) on the symptoms of female survivors of child sexual abuse is used as an example to introduce the steps of the quantitative research process.
A research problem is an area of concern in which there is a gap in the knowledge base needed for nursing practice. The problem statement in a study usually identifies an area of concern for a particular population that requires investigation. Research is then conducted to generate essential knowledge that addresses the practice concern, with the ultimate goal of providing an evidence-based practice in nursing (Brown, 2009; Craig & Smyth, 2007). The research problem is usually broad and could provide the basis for several studies. The research purpose is generated from the problem and identifies the specific goal of the study. The goal of a study might be to identify, describe, or explain a situation; predict a solution to a situation; or control a situation to produce positive outcomes in practice. The purpose includes the variables, population, and often the setting for the study. Chapter 5 presents a detailed discussion of the research problem and purpose.
Researchers conduct a literature review to generate a picture of what is known and not known about a particular problem and to document why a study needs to be conducted. Relevant literature includes only those sources that are pertinent to or highly important in providing the in-depth knowledge needed to study a selected problem. Often the literature review section concludes with a summary paragraph that indicates the current knowledge of a problem area and identifies the additional research that is needed to generate essential evidence for practice (research problem). Chapter 6
describes the process for reviewing the literature.
A framework is the abstract, theoretical basis for a study that enables the researcher to link the findings to nursing’s body of knowledge. In quantitative research, the framework is a testable theory that has been developed in nursing or another discipline, such as psychology, physiology, pathology, or sociology. A theory consists of an integrated set of defined concepts and relational statements that present a view of a phenomenon and can be used to describe, explain, predict, or control the phenomenon. Researchers test the relational statements of the theory, not the theory itself, through research. A study framework can be expressed as a map or a diagram of the relationships that provide the basis for a study, or the framework can be presented in narrative format. Chapter 7 provides you with a background for understanding and critically appraising study frameworks.
Investigators formulate research objectives, questions, or hypotheses to bridge the gap between the more abstractly stated research problem and purpose and the study design and plan for data collection and analysis. Objectives, questions, and hypotheses are narrower in focus than the purpose and often specify only one or two research variables. They also identify the relationship between the variables, and indicate the population to be studied. Some descriptive studies include only a research purpose, whereas others include a purpose and either objectives or questions to direct the study. Some correlational studies include a purpose and specific questions or hypotheses. Quasi-experimental and experimental studies need to include hypotheses to direct the conduct of the studies and the interpretation of findings. Chapter 5 provides guidelines for critically appraising the objectives, questions, and hypotheses in research reports.
The research purpose and the objectives, questions, or hypotheses identify the variables to be examined in a study. Variables are concepts at various levels of abstraction that are measured, manipulated, or controlled in a study. More concrete concepts, such as temperature, weight, or blood pressure are referred to as variables in a study. The more abstract concepts such as creativity, empathy, or social support sometimes are referred to as research concepts.
Researchers operationalize the variables or concepts in a study by identifying conceptual and operational definitions. A conceptual definition provides a variable or concept with theoretical meaning (Burns & Grove, 2009), and it either comes from a theorist’s definition of the concept or is developed through concept analysis. The conceptual definitions of variables provide a link from selected concepts in the study framework to the study variables. Researchers develop an operational definition so that the variable can be measured or manipulated in a study. The knowledge gained from studying the variable will increase understanding of the theoretical concept from the study framework that the variable represents. Chapter 5
provides a more extensive discussion of variables.
Assumptions are statements that are taken for granted or are considered true, even though they have not been scientifically tested. Assumptions often are embedded (unrecognized) in thinking and behavior, and uncovering these assumptions requires introspection and a strong knowledge base in a research area. Sources of assumptions are universally accepted truths (e.g., “all humans are rational beings”), theories, previous research, and nursing practice. Two common assumptions in nursing research are: “People want to assume control of their health” and Health is a priority for most people” (Williams, 1980, p. 48).
In studies, assumptions are embedded in the philosophical base of the framework, study design, and interpretation of findings. Theories and research instruments are developed on the basis of assumptions that may or may not be recognized by the researcher. These assumptions influence the development and implementation of the research process. Thus, the recognition of assumptions by the researcher is a strength, not a weakness. Assumptions influence the logic of the study, and their recognition leads to more rigorous study development (Burns & Grove, 2009).
Limitations are restrictions in a study that may decrease the credibility and generalizability of the findings. Generalization is the extension of the implications of the research findings from the sample studied to a larger population. For example, the findings from studying a sample of adult female survivors of child sexual abuse might be extended to a population of women who have survived child sexual abuse. The two types of limitations are theoretical and methodological. Theoretical limitations restrict the abstract generalization of the findings and are reflected in the study framework and the conceptual and operational definitions of the variables. Theoretical limitations might include (1) a concept that lacks clarity of definition in the theory used to develop the study framework; (2) the unclear relationships among some concepts in the theorist’s work; (3) a study variable that lacks a clear link to a concept in the framework; and (4) an objective, question, or hypothesis that lacks a clear link to a relationship (or proposition) expressed in the study framework.
Methodological limitations can limit the credibility of the findings and restrict the population to which the findings can be generalized. Methodological limitations result from such factors as unrepresentative sample, weak design, single setting, limited control over treatment implementation, measurement instruments with limited reliability and validity, limited control over data collection, and improper use of statistical analyses.
Research design is a blueprint for the conduct of a study that maximizes control over factors that could interfere with the study’s desired outcome. The type of design directs the selection of a population, procedures for sampling, methods of measurement, and plans for data collection and analysis. The choice of research design depends on what is known and not known about the research problem, the researcher’s expertise, the purpose of the study, and the intent to generalize the findings.
Sometimes the design of a study indicates that a pilot study was conducted. A pilot study is a smaller version of a proposed study, and researchers frequently conduct these to refine the methodology. Researchers might conduct pilot studies in a manner similar to that for the proposed study, using similar subjects, the same setting, the same treatment, and the same data collection and analysis techniques. Prescott and Soeken (1989), however, believe a pilot study can be conducted to develop and refine any of the steps in the research process. The reasons for conducting pilot studies are to:
1. Determine whether the proposed study is feasible. (For example, are the subjects available? Does the researcher have the time and money to do the study?)
2. Develop or refine a research treatment.
3. Develop a protocol for the implementation of a treatment.
4. Identify problems with the design.
5. Determine whether the sample is representative of the population or whether the sampling technique is effective. Hertzog (2008) provided sample size guidelines for pilot studies.
6. Examine the reliability and validity of the research instruments.
7. Develop or refine data collection instruments.
8. Refine the data collection and analysis plans.
10. Give the researcher experience with the subjects, setting, methodology, and methods of measurement.
11. Implement data analysis techniques.
12. Convince funding organizations that the research team is knowledgeable and competent to implement the study (Prescott & Soeken, 1989; van Teijlingen & Hundley, 2001).
Thus, conducting a pilot study is usually beneficial to strengthen the major study design. When critically appraising a study, note if a pilot study was conducted and how did the pilot study contribute to the conduct of the current study.
Designs have been developed to meet unique research needs as they emerge; thus, a variety of descriptive, correlational, quasi-experimental, and experimental designs have been generated over time. In descriptive and correlational studies, no treatment is administered, so the purposes of these study designs include improving the precision of measurement, describing what exists, and clarifying relationships that provide a basis for quasi-experimental and experimental studies. Quasi-experimental and experimental study designs usually involve treatment and control groups, and focus on achieving high levels of control as well as precision in measurement. A study’s design usually is in the methodology section of a research report.
The population is all elements (individuals, objects, or substances) that meet certain criteria for inclusion in a study (Kerlinger & Lee, 2000). A sample is a subset of the population that is selected for a particular study, and the members of a sample are the subjects or participants. In many quantitative studies, the members of the study are referred to as subjects but the term participants is used to describe the individuals studied in qualitative research. Sampling defines the process of selecting a group of people, events, behaviors, or other elements with which to conduct a study. Chapter 9 provides you a background for critically appraising populations and samples in research reports.
Measurement is the process of assigning “numbers to objects (or events or situations) in accord with some rule” (Kaplan, 1964, p. 177). A component of measurement is instrumentation, which is the application of specific rules to the development of a measurement device or instrument. An instrument is selected to measure a specific variable in a study. The numerical data generated with an instrument may be at the nominal, ordinal, interval, or ratio level of measurement. The level of measurement, with nominal being the lowest form of measurement and ratio being the highest, determines the type of statistical analysis that can be performed on the data (Grove, 2007). Chapter 10 introduces you to the concept of measurement, describes different types of measurement methods, and provides you direction to critically appraise measurement techniques in studies.
Data collection is the precise, systematic gathering of information relevant to the research purpose or the specific objectives, questions, or hypotheses of a study. To collect data, the researcher must obtain permission from the setting or agency where the study will be conducted. Researchers must also obtain consent from all research subjects to indicate their willingness to participate in the study. Frequently, the researcher asks the subject to sign a consent form, which describes the study, promises the subject confidentiality, and indicates that the subject can withdraw from the study at any time. The research report should document permission from an agency to conduct a study and consent from the subject to participate in the study (see Chapter 4).
During data collection, investigators will use a variety of techniques for measuring study variables, such as observation, interview, questionnaires, or scales. In an increasing number of studies, nurses are measuring physiological variables with high-technology equipment. Researchers collect and systematically record data on each subject, organizing the data in a way that facilitates computer entry. Data collection is usually described in the “Methodology” section of a research report under the subheading of “Procedures.”
Data analysis reduces, organizes, and gives meaning to the data. Analysis techniques conducted in quantitative research include descriptive and inferential analyses (see Chapter 11) and some sophisticated, advanced analyses. Investigators base their choice of analysis techniques primarily on the research objectives, questions, or hypotheses, and the level of measurement achieved by the research instruments. You can find the data analysis process in the “Results” section of the research report; this section usually is organized by the research objectives, questions, or hypotheses.
The results obtained from data analyses require interpretation to be meaningful. Interpretation of research outcomes involves examining the results from data analysis, exploring the significance of the findings, forming conclusions, generalizing the findings, considering the implications for nursing, and suggesting further studies. You can find the research outcomes in the “Discussion” section of a research report.
Understanding the steps of the research process and learning new terms related to those steps will assist you in reading research reports. A research report summarizes the major elements of a study and identifies the contributions of that study to nursing knowledge. Research reports are presented at professional meetings and conferences and are published in journals and books. These reports often are overwhelming to nursing students and new graduates. Maybe you have had difficulty locating research articles or understanding the content of these articles. Research reports usually are written to communicate with other researchers, not with clinicians. Thus, the style of the report often is technical, and the report sometimes is filled with jargon, which is very confusing to students and practicing nurses. We would like to help you overcome some of these barriers and assist you in understanding the research literature by (1) identifying sources that publish research reports, (2) describing the content of a research report, and (3) providing tips for reading the research literature.
The most common sources for nursing research reports are professional journals. Research reports are the major focus of several nursing research journals: Advances in Nursing Science, Applied Nursing Research, Biological Research for Nursing, Clinical Nursing Research: An International Journal, Journal of Nursing Scholarship, International Journal of Nursing Studies, Nursing Research, Nursing Science Quarterly, Qualitative Health Research, Qualitative Nursing Research, Research in Nursing & Health, Scholarly Inquiry for Nursing Practice: An International Journal, and Western Journal of Nursing Research. Two journals in particular, Applied Nursing Research and Clinical Nursing Research, focus on communicating research findings to practicing nurses. Thus, these journals usually include less detail on the framework, methodology, and the statistical results of a study and more on discussion of the findings and the implications for practice. Worldviews on Evidence-Based Nursing is a journal published in 2004 that focuses on innovative ideas for using evidence to improve patient care globally.
Many of the nursing clinical specialty journals also place a high priority on publishing research findings. Table 2–3 identifies the clinical journals in which research reports constitute a major portion of the journal content. More than 100 nursing journals are published in the United States, and most of them include research articles.
Table 2–3
Clinical Journals That Focus on Research Articles

Some research reports, such as those for complex qualitative studies, are lengthy and might be published as books or as chapters in books. Research reports of master’s degree candidates are presented as theses. Doctoral candidates produce dissertations summarizing their research projects. Before publication, many research reports are presented at local, national, and international nursing and healthcare conferences. Often, brochures for conferences will indicate whether research reports are part of the program. The findings from many studies are now communicated through the Internet as journals are placed online, and selected websites include the most current healthcare research.
At this point, you may be overwhelmed by the seeming complexity of a research report. You will find it easier to read and comprehend these reports if you understand each of the component parts. A research report often includes six parts: (1) “Abstract,” (2) “Introduction,” (3) “Methods,” (4) “Results,” (5) “Discussion,” and (6) “References.” These parts are described in this section, and the study by Twiss, Waltman, Berg, Ott, Gross, and Lindsey (2009) that examined the effects of an exercise intervention on the muscle strength and balance of breast cancer survivors with bone loss is presented as an example.
The report usually begins with an abstract, which is a clear, concise summary of a study (Burns & Grove, 2009; Crosby, 1990). Abstracts range from 100 to 250 words and usually include the study purpose, design, setting, sample size, major results, and conclusions. Researchers hope their abstracts will concisely convey the findings from their study and capture your attention so that you will read the entire report.
Usually, four major content sections of a research report follow the abstract: “Introduction,” “Methods,” “Results,” and “Discussion.” Table 2–4 outlines the content covered in each of these sections. It is also briefly discussed in the following sections.
The Introduction section of a research report identifies the nature and scope of the problem being investigated and provides a case for the conduct of the study. You should be able to clearly identify the significance of conducting the study to generate knowledge for nursing practice. Twiss and colleagues’ (2009) study was significant because an estimated 182,460 women in the United States are diagnosed with breast cancer each year and these women are at risk for osteoporosis because of their cancer therapies. An exercise intervention could be an effective way to increase these women’s muscle strength and balance and decrease their falls. The purpose of this study was clearly stated in the abstract.
Depending on the type of research report, the literature review and the framework may be separate sections or part of the introduction. The literature review documents the current knowledge of the problem investigated and includes the sources that were used to develop the study and interpret the findings. For example, Twiss et al. (2009) summarized the literature in a Background section that included research in the areas of ST exercises, adherence to exercise, adverse effects of exercise, muscle strength, balance, and falls. A research report also needs to include a framework, but only about half of the published studies identify one. Twiss et al. (2009) did not identify a framework for their study. The inclusion of a physiological framework that focused on the impact of exercise on the physiological function of the musculoskeletal system would have strengthened this study. The relationships in the framework provide a basis for the formulation of hypotheses to be tested in quasi-experimental and experimental studies.
Investigators often end the introduction by identifying the objectives, questions, or hypotheses that they used to direct the study. However, the Twiss et al. (2009) study lacked a framework and no hypotheses were developed to direct this quasi-experimental study.
The Methods section of a research report describes how the study was conducted and usually includes the study design, treatment (if appropriate), sample, setting, methods of measurement, and data collection process. This section of the report needs to be presented in enough detail so that the reader can critically appraise the adequacy of the study methods to produce reliable findings (Tornquist, Funk, Champagne, & Wiese, 1993).
The Results section presents the outcomes of the statistical tests used to analyze the study data and the significance of these outcomes. The research purpose or objectives, questions, and hypotheses formulated for the study are used to organize this section. Researchers identify the statistical analyses conducted to address the purpose or each objective, question, or hypothesis, and present the specific results obtained from the analyses in tables, figures, or narrative of the report (Burns & Grove, 2009). Focusing more on the summary of the study results and their significance than on the statistical results can help to reduce the confusion that may be caused by the numbers.
The Discussion section ties together the other sections of the research report and gives them meaning. This section includes the major findings, limitations of the study, conclusions drawn from the findings, implications of the findings for nursing, and recommendations for further research.
A References section that includes all sources cited in the research report follows the Discussion section. The reference list includes the studies, theories, and methodology resources that provide a basis for the conduct of the study. These sources provide an opportunity to read about the research problem in greater depth. We strongly encourage you to read the Twiss et al. (2009) article to identify the sections of a research report and to examine the content in each of these sections. These researchers detailed a rigorously conducted quasi-experimental study, provided findings that are supportive of previous research, and identified conclusions that provide sound evidence to direct the care of patients who are breast cancer survivors with bone loss.
When you start reading research reports, you may be overwhelmed by the new terms and complex information presented. We hope that you will not be discouraged but will see the challenge of examining new knowledge generated through research. You probably will need to read the report slowly two or three times. You can also use the glossary at the end of this book to review the definitions of unfamiliar terms. We recommend that you read the abstract first and then the Discussion section of the report. This approach will enable you to determine the relevance of the findings to you personally and to your practice. Initially, your focus should be on research reports you believe can provide relevant knowledge for your practice.
Reading a research report requires the use of a variety of critical thinking skills, such as skimming, comprehending, and analyzing, to facilitate an understanding of the study (Wilkinson, 2006). Skimming a research report involves quickly reviewing the source to gain a broad overview of the content. Try this approach: First, familiarize yourself with the title and check the author’s name. Next, scan the Abstract or Introduction and the Discussion section. Knowing the findings of the study will provide you with a standard for evaluating the rest of the article (Tornquist et al., 1993). Then read the major headings and perhaps one or two sentences under each heading. Finally, reexamine the conclusions and implications for practice from the study. Skimming enables you to make a preliminary judgment about the value of a source and a determination about reading the report in depth.
Comprehending a research report requires that the entire study be read carefully. During this reading, focus on understanding major concepts and the logical flow of ideas within the study. You may wish to highlight information about the researchers, such as their education, their current positions, and any funding they received for the study. As you read the study, steps of the research process also might be highlighted. Record any notes in the margin so that you can easily identify the problem, purpose, framework, major variables, study design, treatment, sample, measurement methods, data collection process, analysis techniques, results, and study outcomes. Also record any creative ideas or questions you have in the margin of the report.
We encourage you to highlight the parts of the article that you do not understand and ask your instructor or other nurse researchers for clarification. Your greatest difficulty in reading the research report probably will be in understanding the statistical analyses. Information in Chapter 11 should help you comprehend the analyses. Basically, you must identify the particular statistics used, the results from each statistical analysis, and the meaning of the results. Statistical analyses describe variables, examine relationships among variables, or determine differences among groups. The study purpose or specific objectives, questions, or hypotheses indicate whether the focus is on description, relationships, or differences. Therefore, you need to link each analysis technique to its results and then to the study purpose or objectives, questions, or hypotheses presented in the study.
The final reading skill, analyzing a research report, involves determining the value of the report’s content. Break the content of the report into parts, and examine the parts in depth for accuracy, completeness, uniqueness of information, and organization. Note whether the steps of the research process build logically on each other or whether steps are missing or incomplete. Examine the discussion section of the report to determine whether the researchers have provided a critical argument for using the study findings in practice. Using the skills of skimming, comprehending, and analyzing while reading research reports will increase your comfort with studies, allow you to become an informed consumer of research, and expand your knowledge for making changes in practice. These skills for reading research reports are essential for conducting a comprehensive critical appraisal of a study. Chapter 12 focuses on the guidelines for critically appraising quantitative and qualitative studies.
Knowing the parts of the research report—introduction, methods, results, and discussion—provides a basis for reading research reports of quantitative studies. You can apply the critical thinking skills of skimming, comprehending, and analyzing to your reading of the example quasi-experimental and experimental studies provided here. Being able to read research reports and identify the steps of the research process should enable you to conduct an initial critical appraisal of a report. Throughout this book you’ll find boxes, entitled Critical Appraisal Guidelines, which provide questions you will want to consider in your critical appraisal of various research elements. This chapter concludes with critical appraisals of both a quasi-experimental study and an experimental study.
The purpose of quasi-experimental research is to examine cause-and-effect relationships among selected independent and dependent variables. Researchers conduct quasi-experimental studies in nursing to determine the effects of nursing interventions or treatments (independent variables) on patient outcomes (dependent variables) (Cook & Campbell, 1979). Artinian et al. (2007) conducted a quasi-experimental study to determine the effects of nurse-managed telemonitoring (TM) on the blood pressure (BP) of African Americans. The steps for this study are described here and illustrated with extracts from the study.
The purpose of experimental research is to examine cause-and-effect relationships between independent and dependent variables under highly controlled conditions. The planning and implementation of experimental studies are highly controlled by the researcher, and often these studies are conducted in a laboratory setting on animals or objects. Few nursing studies are “purely” experimental. Lee, Lin, Chao, Lin, Harn, and Chen (2007) conducted an experimental study of the effects of high-density lipoprotein (HDL) on organ damage in rats with sepsis. We encourage you to read this study, identify the sections of the research report, determine the steps of the quantitative research process, and then compare your findings with those presented in this section.
• Quantitative research is the traditional research approach in nursing and includes descriptive, correlational, quasi-experimental, and experimental types of research.
• Basic, or pure, research is a scientific investigation that involves the pursuit of “knowledge for knowledge’s sake,” or for the pleasure of learning and finding truth.
• Applied, or practical, research is a scientific investigation conducted to generate knowledge that will directly influence or improve clinical practice.
• Conducting quantitative research requires rigor and control.
• A comparison of the problem-solving process, the nursing process, and the research process shows the similarities and differences in these processes and provides a basis for understanding the research process.
• The quantitative research process involves conceptualizing a research project, planning and implementing that project, and communicating the findings. The following steps of the quantitative research process are briefly introduced in this chapter.
• The research problem is an area of concern in which there is a gap in the knowledge needed for nursing practice. The research purpose is generated from the problem and identifies the specific goal or aim of the study.
• The review of relevant literature is conducted to generate a picture of what is known and unknown about a particular topic and provides a rationale for why the study needs to be conducted.
• The study framework is the theoretical basis for a study that guides the development of the study and enables the researcher to link the findings to nursing’s body of knowledge.
• Research objectives, questions, or hypotheses are formulated to bridge the gap between the more abstractly stated research problem and purpose and the study design and plan for data collection and analysis.
• Study variables are concepts, at various levels of abstraction that are measured, manipulated, or controlled in a study.
• Assumptions are statements that are taken for granted or are considered true even though they have not been scientifically tested.
• Limitations are theoretical or methodological restrictions in a study that may decrease the generalizability of the findings.
• Research design is a blueprint for conducting a study that maximizes control over factors that could interfere with the study’s desired outcomes.
• The population is all of the elements that meet certain criteria for inclusion in a study. A sample is a subset of the population that is selected for a particular study; the members of a sample are the subjects.
• Measurement is the process of assigning numerical values to objects, events, or situations in accord with some rule. Methods of measurement are identified to measure each of the variables in a study.
• The data collection process involves the precise, systematic gathering of information relevant to the research purpose or the objectives, questions, or hypotheses of a study.
• Data analyses are conducted to reduce, organize, and give meaning to the data and to address the research purpose and/or objectives, questions, and hypotheses.
• Research outcomes include the conclusions or findings, generalization of findings, implications for nursing, and suggestions for further research.
• The content of a research report includes six parts: abstract, introduction, methods, results, discussion, and references.
• Reading research reports involves skimming, comprehending, and analyzing the report.
• The guidelines for conducting an initial critical appraisal of a quantitative study are provided.