Statistics for Nursing Research – Elsevier eBook on VitalSource, 3rd Edition

• Comprehensive coverage and extensive exercise practice address all common techniques of sampling, measurement, and statistical analysis that students are likely to see in nursing and health sciences literature.
• Literature-based approach uses key excerpts from published studies to reinforce learning through practical application.
• 36 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced statistical techniques.
• NEW! Updated research article excerpts and examples are incorporated throughout to ensure currency and relevance to current practice.
• NEW! Research Article Library on Evolve provides full-text access to key articles used in the book.
• NEW! Enhanced focus on statistical methods commonly used in DNP projects and expanded coverage on calculating descriptive statistics broadens students’ exposure to the statistical methods they will encounter evidence-based practice projects and in the literature.
• NEW! Examples from quality improvement projects give students a solid foundation for meaningful, high-quality evidence-based practice projects.
• Study questions in each chapter help students apply concepts to an actual literature appraisal.
• Questions to Be Graded sections in each chapter (with Answer Guidelines provided online for faculty) help faculty assess mastery of key statistical techniques.
• NEW! Content on paired samples analysis familiarizes students with this type of research analysis.
• Consistent format for all chapters enhances learning and enables quick review.

• NEW! Updated research articles and examples are incorporated throughout to ensure currency and relevance to practice.
• NEW! Enhanced focus on statistical methods commonly used in DNP projects and expanded coverage on calculating descriptive statistics broadens your exposure to the statistical methods you will encounter in evidence-based practice projects and in the literature.
• NEW! Examples from quality improvement projects provide a solid foundation for meaningful, high-quality evidence-based practice projects.
• NEW! Research Article Library on Evolve provides full-text access to key articles used in the book.
• NEW! Content on paired samples analysis familiarizes you with this type of research analysis.
• NEW! Many figures added to serveral exercises to help you understand statistical concepts.

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

References

Appendices 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

Index