Full Description
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.
Contents
Part 11. Identifying Levels of Measurement: Nominal, Ordinal, Interval, and Ratio2. Identifying Probability and Nonprobability Sampling Methods in Studies3. Understanding the Sampling Section of a Research Report: Population, Sampling Criteria, Sample Size, Refusal Rate, and Attrition Rate4. Understanding Reliability of Measurement Methods5. Understanding Validity of Measurement Methods6. Understanding Frequencies and Percentages7. Interpreting Line Graphs8. Measures of Central Tendency: Mean, Median, and Mode9. Measures of Dispersion: Range and Standard Deviation10. Description of a Study Sample11. Interpreting Scatterplots12. Algorithm for Determining the Appropriateness of Inferential Statistical Techniques13. Understanding Pearson's Product-Moment Correlation Coefficient14. Understanding Simple Linear Regression15. Understanding Multiple Linear Regression16. 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 Coefficient21. Understanding Mann-Whitney U Test22. Understanding Wilcoxon Matched-Pairs Signed-Ranks TestPart 2: Conducting and Interpreting Statistical Analyses23. Selecting Appropriate Analysis Techniques for Studies24. Describing the Elements of Power Analysis: Standard Power, Effect Size, Alpha, and Sample Size25. Conducting Power Analysis26. Determining the Normality of a Distribution27. Calculating Descriptive Statistics28. Calculating Pearson's Product-Moment Correlation Coefficient29. Calculating Simple Linear Regression30. Calculating Multiple Linear Regression31. Calculating t-tests for Independent Samples32. Calculating t-tests for Paired (Dependent) Samples33. Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA34. Calculating Sensitivity and Specificity35. Calculating Pearson Chi-Square36. Calculating Odds Ratio and 95% Confidence IntervalsReferencesAppendix 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 ? = 0.05 and ? = 0.01Appendix D: Critical Values of the ?2 Distribution
