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Statistics for Nursing Research - Elsevier eBook on VitalSource (Retail Access Card), 2nd Edition

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Elsevier eBook on VitalSource - Access Card®

Statistics for Nursing Research - Elsevier eBook on VitalSource (Retail Access Card), 2nd Edition

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Understand the statistical methods used in nursing research articles! Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition helps you interpret and analyze the statistical data found in health sciences research articles. Practical exercises show how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing statistics experts Susan Grove and Daisha Cipher, this is the only statistics workbook for nursing to include research examples from both nursing and medical literature for a complete perspective on health sciences research.

    • Comprehensive coverage includes exercises that address all common techniques of sampling, measurement, and statistical analysis that you are likely to see in nursing and medical literature.
    • A literature-based approach incorporates a relevant research article into each exercise/chapter, with key excerpts.
    • 45 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced techniques, and prepare you to apply statistics to nursing practice.
    • Consistent format for all chapters facilitates quick review and easier learning, covering the statistical technique in review, results from a research article, and study questions. 
    • Study questions in each chapter help you apply concepts to clinical practice.
    • Questions to Be Graded in each chapter may be completed and submitted online, to assess your mastery of key statistical techniques.
    • A concise index makes it easy to locate information quickly.
      • NEW examples show the latest, high-quality research studies. 
      • NEW! Expanded coverage helps undergraduate students apply the information learned in statistics and research courses, serves as a refresher/review for graduate students, and also helps in critically appraising studies to determine whether their findings may be used in evidence-based practice.
      • NEW! Understanding Statistical Methods section includes exercises to help in understanding the levels of measurement (nominal, ordinal, interval, and ratio) and in appraising the samples and measurement methods in studies.
      • NEW! Conducting and Interpreting Statistical Analyses section includes exercises to help in understanding the power analysis and how to conduct a power analysis for a study, showing how to determine the most appropriate statistical method(s) for analyzing data for a class project, for a clinical agency project, or for an actual research study.
      • NEW! Answers to study questions are located in the back of the book.
      Part 1: Understanding Statistical Methods
      1. Identifying Levels of Measurement: Nominal, Ordinal, Interval, and Ratio
      2. Identifying Probability and Nonprobability Sampling Methods in Studies
      3. Understanding the Sampling Section of a Research Report: Population, Sampling Criteria, Sample Size, Refusal Rate, and Attrition Rate
      4. Understanding Reliability of Measurement Methods
      5. Understanding Validity of Measurement Methods
      6. Understanding Frequencies and Percentages
      7. Interpreting Line Graphs
      8. Measures of Central Tendency: Mean, Median, and Mode
      9. Measures of Dispersion: Range and Standard Deviation
      10. Description of a Study Sample
      11. Interpreting Scatterplots
      12. Algorithm for Determining the Appropriateness of Inferential Statistical Techniques
      13. Understanding Pearson’s Product-Moment Correlation Coefficient
      14. Understanding Simple Linear Regression
      15. Understanding Multiple Linear Regression
      16. Understanding Independent Samples t-test
      17. Understanding Paired or Dependent Samples t-test
      18. Understanding Analysis of Variance (ANOVA) and Post Hoc Analyses
      19. Understanding Chi Square
      20. Understanding Spearman Rank-Order Correlation Coefficient
      21. Understanding Mann-Whitney U Test
      22. Understanding Wilcoxon Matched-Pairs Signed-Ranks Test
      Part 2: Conducting and Interpreting Statistical Analyses
      23. Selecting Appropriate Analysis Techniques for Studies
      24. Describing the Elements of Power Analysis: Standard Power, Effect Size, Alpha, and Sample Size
      25. Conducting Power Analysis
      26. Determining the Normality of a Distribution
      27. Calculating Descriptive Statistics
      28. Calculating Pearson's Product-Moment Correlation Coefficient
      29. Calculating Simple Linear Regression
      30. Calculating Multiple Linear Regression
      31. Calculating t-tests for Independent Samples
      32. Calculating t-tests for Paired (Dependent) Samples
      33. Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA
      34. Calculating Sensitivity and Specificity
      35. Calculating Pearson Chi-Square
      36. Calculating Odds Ratio and 95% Confidence Intervals
      References
      Appendix A: Critical Values for Student's t Distribution
      Appendix B: Critical Values of r for Pearson Product Moment Correlation Coefficient
      Appendix C: Critical Values of F for α = 0.05 and α = 0.01
      Appendix D: Critical Values of the χ2 Distribution
      Daisha J. Cipher, PhD, Assistant to the Dean for Biostatistics and Research, Clinical Associate Professor, College of Nursing, The University of Texas at Arlington, Arlington, Texas and Susan K. Grove, PhD, RN, ANP-BC, GNP-BC, Professor, College of Nursing, The University of Texas at Arlington, Arlington, Texas; Adult Nurse Practitioner, Family Practice, Grand Prairie, Texas
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