Statistics for nursing research : a workbook for evidence-based practice

RA 409 .G76 2020

3rd ed.

St. Louis, Missouri : Elsevier, 2020

x, 486 pages : illustrations (some color), forms ; 29 cm.

Medicine - Research - Statistical Methods

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 Pearson Chi-Square -- 20. Understanding Spearman Rank-Order Correlation Coefficient -- 21. Understanding Mann-Whitney U Test -- 22. Understanding Wilcoxon Signed-Rank Test -- Part 2: Conducting and Interpreting Statistical Analyses -- 23. Selecting Appropriate Analysis Techniques for Studies -- 24. Describing the Elements of Power Analysis: 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 a = 0.05 and a = 0.01 -- Appendix D: Critical Values of the X2 Distribution.

Grove, Susan K

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