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Introduction to Nursing Research

A review article on nursing research

Prepared by : Saleem.T.K, MSN, Manipal College of Nursing, Manipal University

Last updated on 10-03-09

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Introduction

The ability to conduct research is becoming an ever important skill. The ultimate purpose of nursing is to provide high-quality patient care. Clinical practice without research is practice based on tradition without validation. Research is needed to evaluate the effectiveness of nursing treatment modalities, to determine the impact of nursing care on the health of the patients or to test out theory. Nursing practice is undergoing tremendous changes and challenges. In order to meet social challenges and needs, nursing practice must be research based (Lanuza,1999).

As the context of health care is changing due to the pharmaceutical services and technological advances, nurses and other health care professionals need to be prepared to respond in knowledgeable and practical ways. Research in nursing evolved predominantly when nursing education became a part of higher education and was seeking its own body of knowledge, different from that of medicine. Nursing’s first researchers were being prepared in fields other than nursing and have brought to nursing the various paradigms from those fields (Munhall, 2001).

Scientific research is a systematic and objective attempt to provide answers to certain questions. The purpose of scientific research is to discover and develop an organized body of knowledge. Nursing research refers to the use of systematic, controlled, empirical, and critical investigation in attempting to discover or confirm facts that relate to specific problem or question about the practice of nursing. Nursing research is defined as the application of scientific inquiry to the phenomena of concern to nursing. The systematic investigation of patients and their health experience is the primary concern of nursing (Schotfetdt, 1977).

Characteristics of Research

A scientific research has some characteristics (Singh, 2002)

  • Research is always directed towards the solution of a problem.

  • Research is always based on empirical and observational evidence.

  • Research involves precise observation and accurate description.

  • Research emphasize to the development of theories, principles, and generalizations.

  • Research is characterized by systematic, objective and logical procedures.

  • Research is marked by patience, courage and unhurried activities.

  • Research requires that the researcher has full experience of the problem being studied.

  • Research is replicable.

  • Research uses systematic method of problem-solving.

  • In research the factors which are not under study are controlled.

  • Research requires full skill of writing report

Importance of nursing research

There are several reasons for conducting research investigations, description of phenomena, exploration, or prediction of occurrence of a specific phenomenon. In nursing the purpose of research are

  • to build a body of nursing knowledge

  • to validate improvements in nursing practice

  • to make healthcare efficient and cost effective

Ethical consideration

Issues of ethical behavior are central to health professions. In conducting clinical trials and research projects ethical issues should be taken in to consideration. It is unethical for an investigator not to give patients the best possible treatment. Other way, it is unethical not to discover whether a new treatment is an improvement, since this would deny future patients the possibility of a cure. It is also unethical to perform bad trials that give misleading results, and there by encourage others not to use a treatment that is beneficial, or to use a treatment that is not beneficial, or may indeed have harmful effects. Two important areas of ethical consideration are rights of human subjects and freedom from harm. Three factors are important regarding the rights of the participants, confidentiality, anonymity and the voluntary participation. It can be ensured through an informed consent which clearly explains the study objectives and states participants’ right to accept or refuse to participate (Fowler & Chevannes, 2002).

Research Participants at Risk

Research participants at risk are individuals who may be harmed physically, emotionally, spiritually, economically, socially, or legally through participation in a research study. A basic responsibility of the researcher and those assisting in carrying out the project, is to protect all research participants from harm and while they are participating in an investigation or as a result of the study.

Informed Consent

Informed consent is the process of providing an individual with sufficient understandable information regarding his or her participation in a research project. It includes providing potential participants with information about their rights and responsibilities with in the project and documenting the nature of the agreement. All consent forms need to assure potential participants of their right to withdraw from a research study at any time. . Informed consent is the researcher’s conscious and deliberate attempt to clearly and fully provide the potential participant with information about the study. It is a fundamental responsibility of the investigator in human research to ensure research participants understand the nature of the project and the implications of participation and the individual is able to decide freely whether to participate in a project, without fear or reprisal. When the researcher fails to adequately inform potential research participants about full nature of the research, there by preventing them from making an informed decision on their participation is called deception.

Confidentiality & Anonymity

Confidentiality refers to the researcher’s responsibility to protect all data gathered within the scope of the project from being divulged to others. Anonymity refers to the act of keeping individuals nameless in relation to their participation in a research project.

Regulatory Bodies

The researcher may need to take permission from regulatory bodies for conducting research investigations, mainly when subjects are human beings.  There are regulatory bodies in most of the countries which grant permission after considering ethical issues of the study. Indian Council of Medical Research (ICMR) released 'Ethical guidelines for biomedical research in human subjects'  in the year 2000which are similar to Good Clinical Practice (GCP) guidelines and the prevalent international guidelines. These guidelines regulate all biomedical research in human subjects in India. 

Research Process

Research process is the examination and analysis of systematically gathered facts about a particular problem. The aim of research process is the discovery or validation of knowledge. It is the systematic process of problem solving. Research process has following steps:

  1. Conceptualization of Research problem

  2. Development of Conceptual framework

    • Identifying assumptions

    • Defining variables

    • Stating hypothesis

  3. Research Design

    • Selecting Research Approach

    • Planning for data collection

    • Selection of Sample

    • Pilot Study

    • Planning of Data Processing

    • Planning for Data analysis

    • Planning for Interpretation

  4. Data Collection

  5. Data Analysis

  6. Interpretation of Results

  7. Writing the Report

  8. Critique and Publication

  9. Application Results

Conceptualization of Research problem

Conceptualization research problem may include several activities, such as stating the problem, defining the objectives, purposes and terms to be used in the study. Research problem originates from a situation of need, where unresolved difficulties occur. Conceptualization of research problem begins with identification of problem area and research problem, and definition of problem. The problem under study is written and called as “Statement of Problem”. The problem should be significant to nursing, practical in nature, feasible and the findings add to the knowledge of nursing.  The researcher need to be interested in doing the study and should possess required qualification. Research questions may arise from personal intuition and personal observation of the environment or personal beliefs, but ideas are more often developed through interaction with others. Similarly, research questions tend to arise from an examination of others’ work which can be found in the research journals and textbooks of deferent scientific disciplines.

Approaches to Nursing Research

There can be two broad approaches to nursing research, quantitative and qualitative approach. Quantitative Research is an approach to structuring knowledge by determining how much of a given behaviour, characteristic or phenomenon present. Quantitative Research methods are particularly concerned with objectivity and ability to generalize the findings to others. It is based on the fundamental assumptions of prediction, manipulation, and control (Brockopp & Hastings-Tolsma, 2003). By quantitative method of research we mean the traditional scientific methods characterized by deductive reasoning, objectivity, quazi-experiments, statistical techniques, and control. In contrast the qualitative method is characterized by inductive reasoning, subjectivity, discovery, description, and process orienting (Reichardt & Cook, 1979). The outcome depending on the method can be derived from description, interpretation, and analysis (Ashworth, 1997). Qualitative research is an approach to structuring knowledge that utilizes methods of inquiry that emphasize subjectivity and the meaning of the experience to the individual. Qualitative research is an inductive approach to discovering or expanding knowledge. It requires the involvement of the researcher in the identification of the meaning or relevance of a particular phenomenon to the individual. Analysis and interpretation in this method are not generally dependent upon the quantification of observations (Brockopp &Hastings-Tolsma, 2003).Qualitative research approach can be of several forms; phenomenological, philosophical, historical, grounded theory method or ethnographic research. The differentiation between qualitative and quantitative research is less than clear-cut (Polit & Hugler, 1999).

Further, categorization of research approaches also includes basic research, applied research and epidemiological research.

Basic Research

Basic research refers to those studies that are designed to seek knowledge for its own sake and does not therefore specify an application of the findings. Basic research is conducted in order to understand the relationship among phenomena. Basic research is not aimed toward the solution of problems or the facilitation of decision making (LoBiondo-Wood, G. & Haber, J. 1997).

Applied Research

Applied research is research that is designed to produce findings that can be used to remediate or modify a given situation. The term refers to those studies that have their purpose an identified practical use or application.  A problem is investigated, and some resolution is sought by way of research findings (Polit & Hungler, 1995).

Epidemiologic Research

Epidemiology is an approach to generating knowledge that uses quantitative research methods to understand the incidence, distribution, and control health problems within a population. Epidemiologic studies can be categorized as observational or experimental. Observational studies include cohort, case control, cross-sectional and ecological designs. Experimental studies include randomized controlled trails and the cross-over designs. Observational Studies do not attempt to manipulate variables in a systematic fashion; instead, inferences are made on the basis of an ongoing series of observations. Some of the most common observational studies include the cohort study, the panel study, and the case-control study. In a cohort study, groups of people who share some common characteristics are followed over the course of time. These studies, which are often prospective, resample the same population of individuals on repeated occasions. However, the exact participants in the study may not be the same on repeated observations. A panel study is similar to a cohort study; however, it has the stricter requirement that exactly the same individuals who were in the original sample are followed at each repeated assessment. Cohort and panel studies are considered to be longitudinal designs, which make inferences about changes over the course of time. Cross-sectional studies differ from longitudinal studies in that they examine different groups of individuals at the same point in time. To make inferences about drug use in college, for example, the cross-sectional method would require sampling of each current class such that freshmen could be compared to sophomores, juniors, and seniors. These individuals would not be members of the same class or birth cohort.

A case-Control methodology compares a group of people with a diagnosed disease (cases) with one or more groups that have not been given the same diagnosis. Case-control studies are typically retrospective because they make inferences about events that have caused currently diagnosed cases. Longitudinal studies are often prospective and have the advantage of documenting the antecedents of new cases. Observational studies often used correlational and multivariate statistical techniques. Variables that are uncontrolled through the experimental design are often adjusted for using statistical methods. In contrast to observational studies in which important variables are not controlled, experimental studies typically involve the systematic manipulation of variables.

Methodological approaches to nursing research can be of following nature.

Experimental Designs

Experiment is a design that is commonly used in natural or basic sciences. It refers to a research design that is characterized by a comparison among groups that are as equal as possible, the manipulation of the independent variable, the use of inferential statistics, and stringent control of extraneous factors. The design permits the researcher to establish cause-effect relationships and therefore accurately predict and explain phenomena.  Here the investigator attempts to establish that the results of the study can be accurately attributed to the manipulation of the variable under examination.

Characteristics of Experiments

  • Two or more groups

  • The results of the study can be attributed to the manipulation of the variable and not to differences between the groups.

  • Controlling extraneous factors

Experimental studies are easier to conduct in natural sciences than in the social sciences because the objects or units can be more readily controlled and manipulated.

Non-experimental design or Descriptive Studies

Non-experimental studies are present-oriented. It attempts to describe what exists. Variable are not deliberately manipulated, nor is the setting controlled. The analysis of data often leads to the formation of hypothesis that can then be tested experimentally.

          Non-experimental or descriptive studies can be exploratory (simply exploring what exists without having any research data in the area), explanatory research (explaining a particular phenomenon), and correlational designs (exploring the relationship between different states).

Review of literature

          A review of literature is a comprehensive description as well as an evaluation of the evidence related to a given topic. Review of literature sets the stage for the reminder of the article. An effective relevant literature includes those studies which have been completely executed, clearly reported and closely related to the research problem. Well-written reviews of literature include evaluative statements regarding the studies described. Comment about sample size, instruments used, research design, and other components of the research process can be helpful to the reader in better understanding the value of the results of the investigations.

In conducting an in-depth search of the literature, the investigator needs to identify all relevant publications in the area of interest. The investigator starts with the most recent publications in order to find the most relevant information. When searching the literature both primary and secondary sources may need to be considered A primary source refers to the publication in its original form. A secondary source refers when the author writes about another authors work. Primary sources are generally preferred because a distortion of ideas can occur in a secondary source (Polit & Hungler, 1999).

          The investigator critically evaluates the information gathered by examining each component of the publication. Analysis of a clinical opinion article requires the reader to evaluate the logic to validate the author’s conclusion. When examining a research report, the reader must examine each component of the research process and make judgments about the appropriateness of the methods used in relation to the conclusion drawn (Brockopp & Hastings-Tolsma, 2003).

          There are two methods of searching literature, performing computer search in databases, and examining books and periodicals manually.  A combination of two methods can be comprehensive. For manual search for information related to a given topic the investigator can use library facilities with the help of library mechanisms like card catalogs or computer catalogs.

Computerized databases are increasingly popular and necessary as the volume of published material continues to grow. Computer searches are more advantageous than hand searches of indexes because they take less time and allow concepts to be linked (Sinclair, 1987). Searching by computer can be accomplished using a library-based computer system or a personal computer and online resources in the home or workplace. The computer also allows the researcher to choose only the  references of interest form those presented and  to obtain a printed list of articles chosen fro review.

Searching nursing literature on the Internet

The internet possesses an enormous number of medical and nursing databases, which are very useful for nursing professionals. It is quiet impossible to calculate the quantity of medical information on the Internet. So many new resources are created each day that nobody could possibly keep abreast of them and present an exhaustive analysis of all existing medical resources. MEDLINE is a comprehensive database for health literature which is managed by National Library of Medicine, USA.  International nursing index and IndexMedicus are included in MEDLINE. Cochrane Review (www.cochranereview.org) is another database which gives extensive search options. Cumulative Index to Nursing and Allied Health Literature (CINAHL) is a database of exclusive nursing articles. Internet search engine Google has developed Google Scholar (http://scholar.google.com ), which helps to confine search options to academic papers only. Open access journals (http://doaj.org) are another source of searching literature. These journals are access free and can be used without restriction provided the policies are accepted. Many standard journals provide their archives for free online access search after a period of time to developing countries.

Elsevier publications’ internet database for nursing journals is accessible at http://sciencediretct.com/. The Nursing Center (http://nursingcenter.com ) is the online access site for Lippincott Williams & Wilkins’ nursing journals. These journals are to be subscribed and most of them are indexed in MEDLINE and CINAHL. Many of the journals are published by the organization themselves (e.g. Online Journal issues Issues in Nursing). The Indian Medlars Centre of National Informatics Centre, New Delhi, has designed two databases, IndMED, a bibliographic database of peer reviewed Indian biomedical journals and medIND, full-text of selected IndMED journals. These are accessible free of cost from the Center’s site <http://indmed.nic.in/> (Ameen, 2004).

Bradford-Hill guidelines

Bradford-Hill criteria are nine specific criteria that are used to evaluate studies for the existence of a cause-and –effect relationship. The nine criteria are the strength of the association, confounding variables and bias, temporality, biologic gradient, specificity, consistency, biologic plausibility, studies appropriately done(having clear comparison group, blinding description of the methods used, analysis consistence with study design), and freedom from bias and confounding variables. Consistent use of the criteria helps in the determination that the increased relative risk is not likely the result of bias or other factors (Bradford-Hill, 1971). 

Instrument

An instrument in a research study is a device used to measure the concept of interest in a research project. It is used to measure a concept of interest. An ideal measuring instrument is one which results in measures that are relevant, accurate, objective, sensitive and efficient. Measures which are Physical and physiological have higher chance of success in attaining these goals than measures that are psychological and behavioral. Instruments can be observation scales, questionnaires or interview schedules. Validity and reliability are two statistical properties used to evaluate the quality of research instruments (Anastasi, 1986). It is important that assessment techniques possess both validity and reliability.

Validity

Validity in relation to research is a judgment regarding the degree to which the components of the research reflect the theory, concept, or variable under study (Streiner& Norman. 1996). The validity of the instrument used and validity of the research design as whole are important criteria in evaluating the worth of the results of the results conducted. Internal validity refers to the likelihood that experimental manipulation indeed was responsible for the differences observed. External validity refers to the extent to which the results of the study can be generalized to the larger population (Polit & Hungler, 1999). Four types of validity are used to judge the accuracy of an instrument: (1) content validity, (2) predictive validity, (3) concurrent validity, and (4) construct validity.

Content validity is the extent to which different items in the assessment measure the trait or phenomenon they were meant to. High level of content validity indicates that test items accurately reflect the trait being measured. A questionnaire to assess anxiety, for example, would be high in content validity if it included questions about known symptoms of anxiety such as muscle tension and a rapid pulse rate.

Predictive validity is the ability of an assessment measure to predict someone’s future behaviour in related but different, situation. An assessment measure with high predictive validity is capable of making accurate predictions of future behaviour. Low predictive validity means that a measure is of little use in predicting a particular behaviour.

Concurrent validity reflects how well different measures of the same trait agree with another.  If a test possesses high degree of concurrent validity, then it can be expected to give results very similar to other measures of same characteristic.

Construct validity is the extent to which a theoretical construct such as a personality trait can be empirically defined.

Reliability

Reliability of an instrument reflects its stability and consistency within a given context. Reliability is the consistency of measurement over time, whether it provides the same results on repeated trails. It is defined as a characteristic of an instrument that reflects the degree to which the instrument provokes consistent responses. For example, a scale developed to measure intelligence might not be reliable for measurement of personality. Three characteristics of reliability are commonly evaluated: (1) stability, (2) internal consistency, and (3) equivalence.

Test-retest reliability or stability refers to degree to which research participants’ response change overtime. Test-retest method is used to test stability of the tool. In this method an instrument is given to the same individuals on two occasions within relatively short duration of time. A correlation coefficient is calculated to determine how closely the participants’ responses on the second occasion matched their responses on the first occasion.

Half-split reliability or internal consistency is a measure of reliability that is frequently used with scales designed to assess psychosocial characteristics. Instruments can be assessed for internal consistency using half-split technique (i.e. answers to one half of the items are compared with answers to the other half of the items) or by calculating the alpha coefficient or using Kuder-Richardson formula. In the case alpha coefficient and Kuder-Richardson formula, a coefficient that ranges from 0 to 1.00 usually results.

Interrater reliability or the notion of equivalence is often concern when different observers are using the same instrument to collect data at the same time. A coefficient can be calculated or other statistical or nonstatistical procedure can be used to see the correlation of values.

Hypothesis

Hypothesis is statement or declaration of the expected outcome of a research study. It is based on logical rationale and has empirical possibilities for testing. Hypothesis is formulated in experimental research. In some non-experimental correlational studies, hypothesis may also be developed. Normally, there are four elements in a hypothesis: (1) dependent and independent variables, (2) some type of relationship between independent and dependent variable, (3) the direction of the change, and (4) it mentions about the subjects, i.e. population being studied. It is defined as “A tentative assumption made in order to draw out and test its logical or empirical consequences” (Webster, 1968).

Standards in formulating a hypothesis (Ahuja, R. 2001):

  1. It should be empirically testable, whether it is right or wrong.

  2. It should be specific and precise.

  3. The statements in the hypothesis should not be contradictory.

  4. It should specify variables between which the relationship to be established

  5. It should describe one issue only.

Characteristics of a Hypothesis

Characteristics of a Hypothesis (Treece & Treece, 1989)

  1. It is testable

  2. It is logical

  3. It is directly related to the research problem

  4. It is factually or theoretically based

  5. It states a relationship between variables

  6. It is stated in such a form that it can be accepted or rejected.

Hypothesis formation

Directional hypothesis predicts an outcome in a particular direction, and nondirectional hypothesis simply states that there will be difference between the groups. There can be two hypotheses, research hypothesis and null hypothesis. The null hypothesis is formed for the statistical purpose of negating it. If the research hypothesis states there is positive correlation between smoking and cancer, the null hypothesis states there is no relation between smoking and cancer. It is easy to negate a statement than trying to establish it. 

Data Collection

Once the problem has been decided and methodology is planned, the systematic collection of reliable and valid evidence is the next step in the research process. Data collection should be systematic and meticulous. The purpose of gathering is to transform them into information in order to identify variable, measure variables, describe behaviour and obtain empirical evidence. In view of the statistical analysis, the levels of measurement should be defined, as nominal, ordinal, interval or ratio level data. The sources for collection of data for a research study vary with interest of the researcher and type of the study. Sources of data can be documentary sources as primary and secondary sources, field sources as subjects in person, conditions, environment and events that are observable and measurable, and historical data. The methods of collecting include questioning using interview schedule and questionnaires, observation techniques with the help of structured or unstructured instruments, and measuring with standardized instruments. A pilot study is done to establish the feasibility and practicability of the whole research design. It helps to find out whether any changes in the methodology are required.

Sampling

Sampling can be probability sampling or non-probability sampling. Probability sampling, also called random sampling, is a selection process that ensures each participant the same probability of being selected. Random sampling is the best method for ensuring that a sample is representative of the larger population. Random sampling can be simple random sampling, stratified random sampling, and cluster sampling. Nonprobability sampling is the selection process in which the probability that any one individual or subject selected is not equal to the probability that another individual or subject may be chosen. The probability of inclusion and the degree to which the sample represents the population are unknown. The major problem with nonprobability sampling is that sampling bias can occur. Nonprobability sampling can be convenience sampling, purposive sampling or quota sampling.

Extraneous Variable

Extraneous variable are those variables that can influence the relationship between the independent dependent variables. They must be controlled through statistical analysis or research design. There are six methods of controlling extraneous variable (Polit & Hugler, 1999). They are (1) ensuring subjects are homogenous, including the extraneous variable as independent variable, (3)matching subjects in relation to extraneous variables, (4) using statistical procedures to control undesirable variables, (5) randomly assigning subjects to experimental and control groups, and using (6) repeated measures design.

Analysis

The purpose of analyzing data in a study is to describe the data in meaningful terms. Statistics help to answer important research questions and it is the answers to such questions that further our understanding of the field and provide for academic study. It is required the researcher to have an understanding of what tools are suitable for a particular research study. Depending on the kinds of variables identified (nominal, ordinal, interval, and ratio) and the design of particular study, a number of statistical techniques is available to analyze data. There are two approaches to the statistical analysis of data the descriptive approach and inferential approach. Descriptive statistics convert data into picture of the information that is readily understandable. The inferential approach helps to decide whether the outcome of the study is a result of factors planned within design of the study or determined by chance. The two approaches are often used sequentially in that first data are described with descriptive statistics, and then additional statistical manipulations are done to make inferences about the likelihood that the outcome the outcome was due to chance through inferential statistics.

Interpreting the results

The result section of the research report is followed by section which focuses on interpretation of the results. In this task, the investigator tries to interpret the results within the given conceptual framework. Here the researcher draws conclusions based on the results. If hypotheses have been formed, this section discusses the support or lack of support hypothesis, and if hypothesis have not been formed the descriptive findings are discussed.

Writing Research Report

The purpose writing research report is to document the research findings, to share the results with other interested groups, and apply the results in practice. It is a challenging job and requires imagination, creativity, and resourcefulness. The research report aims at telling the readers the problem identified, investigated and methods adopted, the results found and the conclusion reached. The highest standard of correct usage of word and sentences is expected.

The outcome of the study should be presented in a way that the consumer should understand the findings.  The results can be presented through written word or through various kinds of pictorial displays. Graphs and tables are the two common methods of communicating results.  Graphs are generally used to describe the data in question, and tables are used to summarize the findings (Brockopp &Hastings-Tolsma, 2003).  Criteria for evaluating the effectiveness of both graphs and tables include the clarity of the presentation, its conciseness, and its adequacy in conveying appropriate information (Wilson, 1987, p.295).  Bar graph, histogram, frequency polygon, pie diagram, pictorial charts are the common methods of displaying results diagrammatically. Tables are generally used to summarize the meaningful results of a study. They should be numbered in sequence and are referred with in the text. Tables should be accompanied by factual, precise description of their meaning.

Scientific writing is the presentation of a set of reasons in support of a thesis, or proposition. The format suggested by the Publication Manual of the American Psychological Association, can be consulted for detailed matters of style (web address). A scientific report requires the same attention to good writing as does any other form of written persuasion. Key concepts are clarity, brevity, and felicity. Authors should be careful to avoid sexism and ethnic bias. References are cited in the text by author name and date of publication. Harvard style and Vancouver style are the commonly used methods of writing references. .  The reference list contains an entry for each work cited in the text, and no others.

The parts of a paper are (1) title, (2) authors and their affiliations, (3) abstract, (4) introduction, (5) method, (6) results, (7) discussion, (8) references, (9) footnotes, (10) tables, (11) figure captions, and (12) figures. The title should convey the main idea of the paper in a few words.  The authors of the paper are listed in the order of the importance of their contributions.  The abstract is a brief summary of the paper and includes elements from the introduction, method, results, and discussion sections. The introduction states the general problem the paper deals with, discusses the relevant literature, and states what the paper will contribute to the understanding of the problem. The method section tells what you did in the experiment in such a way that another person can evaluate the validity of the conclusions of the study and can repeat it in all essentials. The method section describes the subjects, apparatus, design, and procedure. The results section describes the results and their statistical analysis. Graphs and tables are described here. The discussion section interprets the results and relates them to the literature. It states the contributions that the study makes to the understanding of the problem posed in the introduction, and it deals with any weakness in the data or any qualifications of the conclusions.

Communicating Research Results

          Scientific communication takes place in many ways, including archival publication in scholarly journals and informal communication among groups of scientists, known as invisible colleges. Research outcome needs to be shared with other professionals, regardless of the study’s outcome. The investigator can present the findings in an oral format (conference presentations) or written format (journals or scientific publications). Nursing is a relatively a new profession and the body of knowledge needs to be developed. Publication of research findings in international journals makes the findings of the study available to professionals of other countries.  The investigator should decide the appropriate format for presenting the findings.

The steps in the publication process include choosing the journal, submitting the final manuscript along with a cover letter, revising the paper to account for reviewers’ comments, resubmitting the paper, reviewing the copyedited manuscript and reading the page proofs.

Oral presentations include most of the elements of the written paper in specified format.  Practicing the talk before a sympathetic audience, preparing good visual aids, and speaking from an outline rather than reading the paper directly are keys to a good presentation.

Poster presentations are an increasingly popular form of communicating results at scientific meetings. The various parts of the paper are placed on a vertical surface in such a way that they can be read from a distance of several feet. The author remains near the poster to discuss the results with passersby.

Research Utilization

Nursing research contribute positively to the health care system. Research utilization is the process of transferring research knowledge into practice, thus facilitating an innovative change in practice or the verification of existing practice protocols.  Knowledge about published materials and what other people have tried is vital when exploring  solutions to a problem. It is the professional responsibility of the nurses to determine the best practice, under what conditions, in which circumstances.

To enhance the integration of research and practice, nurses must have an organizational environment to in which enquiry and critical thinking are valued. Research utilization is helps in improving nursing practice by providing  process by answers to clinical questions, evaluating effectiveness of the nursing actins, testing theories relevant to nursing practice and expanding nursing  knowledge (Lanuza,1999).

Research Proposal

The writing of a research proposal is an important aspect of research process. A research proposal is a detailed plan of the research to be conducted. A written research proposal follows a general format of a journal article with the following nine general steps:

  1. Problem

  2. Definitions, assumptions, limitations or delimitations

  3. Review of related literature

  4. Hypothesis

  5. Methods

  6. Time schedule

  7. Expected results

  8. References

  9. Appendix

Terminology

Feasibility

Feasibility of a study refers to the ease with which the particular study can be completed.

Purpose of the study

The purpose of the study describes why the study has been designed. The purpose reflects the intent of the investigator and use of the knowledge derived.

Theories

A theory is composed of specific concepts and propositions that attempts to account for a particular notion that is observed in the real world. Theory assumes that a particular conceptual model is utilized. The purpose of using theory is to describe a notion, to explain an idea, or to predict what might be observed.

Propositions

Propositions are statements that suggest a specific relationship between two or more concepts. A proposition may take the form of an axiom or theorem. An axiom is a statement that links the concepts of a theory. The links or relationship between concepts is assumed to be true. A theorem is a statement that designates a relationship between concepts that are deduced from relationship already formed by axioms.

Construct

A construct reflects the specific, potentially observable characteristics of a concept and thus facilitates testing of the idea.

Variable

A variable is a concept (construct) that has been so specifically defined that precise observations and therefore measurement can be accomplished.

Deductive Reasoning

Deductive reasoning is method of thinking that begins with a general statement of belief and moves to obtain specific observations. Reasoning moves from the general to the specific.

Inductive Reasoning

Inductive reasoning involves the collection of observations related to a particular event. From these observations, a theory or general explanation regarding the event can evolve. Reasoning moves from specific to the general.

Bias

Bias is a feeling or influence that strongly favors the outcome of a particular finding in a research project. When the chance of bias is not addressed, the reliability of the scientific findings is considered t be highly questionable. 

The Problem Statement

The problem statement presents the topic under study, provides a rationale for the choice of topic, represents a synthesis of fact and theory, and directs the selection of the design.

Qualitative and quantitative variables

Quantitative variable is one whose values or categories consists of numbers and if differences between its categories can be expressed numerically (age, income, size, etc.). The qualitative variable is one which consists of discrete categories rather than numerical (sex, religion, etc). Relationship among quantitative variables may be either positive or negative (Singleton and Starits, 1999:76). A positive relationship exists if an increase in the value of one variable is accompanied by an increase in the value of other, or decrease in one is accompanied by other. The negative relationship between variables exists if the decrease in the value of one variable is accompanied by an increase in the value of other.

Scholarly publications

Scholarly publications are the documents that serve to communicate to other professionals the methods and achievements produced through academic study and research investigation. Scholarly publications are used to disseminate scholarly work within discipline, which is crucial for the growth of its members.

Delimitation and Limitation

Delimitations indicate the cut off points beyond which the researcher does not intent to probe. It includes those restrictions the researcher placed in the study prior to gathering data. Delimitations are considered at every decision point during planning stage. Limitations indicate the weakness of the entire study, as the researcher perceives them. Delimitations are set during the planning stage, whereas limitations are experienced during implementation stage and these uncontrollable elements are reported research report.

Dependent and Independent variables

The independent variable (often referred to in an experimental or quasi-experimental study as the experimental or treatment variable) is an antecedent to other variables. In an experiment or quasi-experiment, it is the variable that is manipulated, and its effect on the dependent variable is observed. The dependent variable represents the area of interest under investigation. It reflects the effect of or the response to the independent variable.

Defining Terms

Two types of definition: Conceptual definition or dictionary definition, and operational definition. Operational definition assigns meaning to a variable and describes the activities required to measure it.

Operational Definition

Operational definition of variables refers to definition of terms in a way that the explanation used in the study that help in defining variables in measurable and quantifiable terms.

Probability Sampling

Probability sampling is the process of selecting samples based on probability theory. Probability theory states that possibility that events occur by chance.

Population

The population is the entire group of persons or objects that is of interest to the investigator.

Sample

The sample is a subset of the population selected by investigator to participate in a research study

Variable

A variable is a concept (construct) that has been so specifically defined that precise observations and therefore measurement can be accomplished

Validity in Relation to Research Design

There can be two kinds of validity related to research design: internal and external validity (Brockopp & Hastings-Tolsma (2003). Internal validity refers to whether the independent variable actually made a deference and results are not due to extraneous factors. External validity refers to the extent to which the results of the study can be generalized to the larger population.

Meta-analysis

Meta-analysis is technique where the findings from several small clinical trials are analyzed together. Although, the findings from each study alone may not be powerful enough to allow for decisions affecting clinical practice, when analyzed together, the findings may be much useful. Meta-analysis is a statistical procedure that compares similar studies to determine readiness of the outcomes for implementation in clinical practice (Massay & Loomis, 1988)

Incidence

Incidence is a mathematical reflection of the number of cases of a health problem in a given population. The term incidence describes the number of new cases within a specific time period.

Prevalence

Prevalence is a mathematical reflection of the number of cases of a health problem in a given population. The term prevalence describes all cases of a health problem in a given population.

Dependent and independent variables

  1. An independent variable is presumed to cause of the dependent variable-the presumed effect.

  2. The independent variable is one which explains or accounts for variations in the dependent variable.

  3. A dependent variable is one which changes in relationship to changes in another variable.

  4. An independent variable is one whose change results in change in other variable.

  5. In experiments, the independent variable is the variable manipulated by the experimenter.

  6. A variable which is dependent in one study may be independent in another.

  7. Intervening variable is one that comes between the independent and dependent variable.

References & Bibliography

  1. Ahuja, R.(2001). Research methods. Rawat Publications. 71-72.

  2. Ahuja, N.(2002). A short Text Book of Psychiatry(5thEdition). New Delhi:Jaypee Publications, 241.

  3. Ameen, S. & Nizamie, S.H. (2004). The internet revolution: implications for mental health professionals. Indian Journal of Social Psychiatry, 20 (1-4), 16–26

  4. Ashworth,P.D.(1997). The variety of qualitative research (Part2: Non-positivistic approaches. Nurse Education Today 17(3), 219-224.

  5. Bradford-Hill,A. (1971). Principles of Medical Statistics (9th Edition). New York: Oxford University Press, pp309-323

  6. Brockopp, Dorothy Y. & Hastings-Tolsma, Marie. (2003). Fundamental of Nursing Research. 3rd Edition. Jones and Bartlet: Boston

  7. Cozby, P.C. (2000). Methods in Behavioral Research (7th Edition). Tornto: Mayfield Publishing Co.

  8. Fowler, J., Jarvis, P.& Chevannes, M.(2002), Practical Statistics for Nursing and Health Care. John Wiley & Sons: England.

  9. Lanuza, D M.(1999).Research and Practice in Using and Conducting Nursing Research in the Clinical Setting. Mathew M.A., & Kirchoff, K.T.,Edrs.P-11.

  10. Lindquist, E F. (1968). Statistical Analysis in Educational Research.  New Delhi: Oxford and IBH Publishing Co.

  11. LoBiondo-Wood, G. & Haber, J. (1997). Nursing Research: Methods, critical appraisal and utilization (3rd Edition). Boston: Mosbey.

  12. Massay,J.,& Loomis, M.(1988). When Should Nurses Use research findings? Applied Nursing Resaerch,1,32-40.

  13. Polit, D.F. & Hungler, B.P. (1995).  Nursing Research: Principles and Methods (5th Edition). Philadelphia: J.B. Lippincott.

  14. Polit, D.F. & Hungler, B.P. (1995).  Nursing Research: Principles and Methods (6th Edition). Philadelphia: J.B. Lippincott.

  15. Reichardt, C., & Cook, T. (Eds.). (1979). Qualitative and quantitative methods in evaluation research. Beverly Hills, CA: Sage.

  16. Schotfetdt, R.M.1977. Nursing Research: Reflection of values. Nursing Research, 26(1):4-8

  17. Sinclair, V.,1987. Literature Searches by Computer. Image: Journal of Nursing Scholarship, 19, 35-37.

  18. Singh AK. (2002). Tests, Measurements and Research Methods in Behavioural Sciences. Bharahty Bhavan. New Delhi.

  19. Singlton, Royce A. and Straits, Bruce. Approaches to Social Research 1999 .3rd Edition. Oxford University Press, New York.

  20. Streiner, D. & Norman, G. (1996). PDQ Epidemiology (2nd Edition). St. Louis: Mosbey

  21. Therese Baker L., Doing Social Research 1988, McGraw Hil Book Co., New York

  22. Treece, E.W. & Treece, J.H., Elements of Research in Nursing, The C.V. Mosby Co.,St.Louis 1989.

  23. Wilson, H. (1987).  Introducing research in nursing. Menlo Park, CA: Addison-Wesley.

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