Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition by Susan Grove Daisha

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 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 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