Nursing Research Comprehensive Notes

  • Importance of Nursing Research

    • Nursing research is vital for:
    • Documenting cost-effectiveness of nursing care.
    • Ensuring the credibility of the nursing profession.
    • Promoting evidence-based practice (EBP) in nursing.
    • Providing accountability for the profession.

  • Research Definition

    • Research involves:
    • Collecting, analyzing, and interpreting observable and verifiable data.
    • Aims to describe, explain, predict, and control phenomena related to health.
    • Must stand up to scrutiny: accurate, replicable, credible, trustworthy.

  • Evidence-Based Practice (EBP)

    • EBP integrates:
    • Best current evidence, clinical expertise, and patient/family preferences for optimal healthcare.
    • Practice must evolve with changing evidence.

  • Types of Research

    • Basic Research: Extends knowledge base of a discipline.
    • Applied Research: Solves practical problems.

  • Research Methodologies: Quantitative vs. Qualitative

    • Quantitative:
    • Objective, large sample sizes, results in numbers/statistics, researcher separate from study.
    • Qualitative:
    • Subjective, small sample sizes, results in narrative, researcher part of the study.

  • Types of Qualitative Research

    • Phenomenology: Studies lived experiences.
    • E.g., coping of cancer survivors with emotional challenges.
    • Grounded Theory: Focuses on social processes.
    • E.g., factors influencing nurses' job retention in ICUs.
    • Ethnography: Describes culture.
    • E.g., traditional healing practices of an indigenous tribe.
    • Case Study: In-depth analysis of specific instances.
    • E.g., medication adherence in elderly patients.
    • Historical Research: Examines past events.
    • E.g., evolution of nursing education.
    • Action Research: Improves practice through systematic study.
    • E.g., coping with burnout in nursing staff.

  • Research Process

    • Conceptual Phase:
    1. Identify the problem.
    2. Determine the purpose.
    3. Review literature.
    4. Develop theoretical framework.
    5. Identify assumptions and limitations.
    6. Formulate research questions and hypotheses.
    7. Define variables, select design, and identify population/sample.
    • Data Collection/Analysis Phase:
    1. Conduct pilot study.
    2. Collect and organize data.
    3. Analyze and interpret findings.
    4. Communicate and utilize findings.

  • Research Problems

    • Develop from:
    • Personal experiences, literature, theories, previous research.
    • Evaluated on:
    • Significance, researchability, feasibility, and researcher interest.

  • Hypotheses

    • Directional Hypothesis: Predicts specific relationship direction.
    • Non-Directional Hypothesis: Predicts a relationship without direction.

  • Variables in Research

    • Independent Variable (IV): Presumed cause, manipulated by the researcher.
    • Dependent Variable (DV): Presumed effect, response measured by the researcher.
    • Demographic Variables: Characteristics describing the sample.
    • Extraneous Variables: Interfere with results, can be controlled.
    • Confounding Variables: Uncontrolled extraneous variables affecting results.

  • Research Design

    • Experimental and non-experimental designs, with three criteria for cause-and-effect relationships (time precedence, correlation, and absence of other explanations).
    • Validity: Reflects accuracy of tools used; Reliability: Consistency of measurements.

  • Statistical Measures

    • Descriptive Statistics: Summarize data via central tendency (mean, median, mode), variability (variance, standard deviation), and frequency distributions.
    • Inferential Statistics: Assesses relationships, differences between groups, and includes correlation tests and comparison tests (t-tests, ANOVA).

  • Ethics in Research

    • Ethical standards under the Nuremberg Code and Declaration of Helsinki.
    • Key principles include beneficence (minimizing harm), self-determination, full disclosure, and the right to privacy.
    • Informed consent is crucial, requiring adequate information and voluntary participation.
    • Special considerations for children regarding consent and assent.

  • Sampling Techniques

    • Population vs. Sample: Understanding and defining units of study.
    • Probability Sampling (random) vs. Non-Probability Sampling (non-random).
    • Various methods of sampling including convenience, purposive, snowball, and quota sampling.

  • Levels of Measurement

    • Nominal, Ordinal, Interval, and Ratio levels dictate how data is analyzed and interpreted.
    • Essential for determining the appropriate statistical methods for analysis.

  • Conclusion

    • Research is central to nursing practice, impacting care delivery and enhancing the profession's credibility.