Statistics for Nursing Research: A Workbook for Evidence-Based Practice

Get the review and practice you need to critically appraise the statistical methods used in published research! Statistics for Nursing Research, 4th Edition helps you understand and interpret statistical methods, sampling and measurement techniques, and statistical analysis techniques. This unique and practical workbook is divided into two parts to differentiate between basic and advanced statistical methods, with dozens of hands-on exercises that will help you practice working with the statistical methods needed for building an evidence-based practice. This workbook is an indispensable resource for any nursing student or practicing nurse wishing to gain competency in conducting statistical analyses. INDICE: PART 1: Understanding Statistical Methods1. 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 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 Pearson Chi Square 20. Understanding Spearman Rank-Order Correlation Coefficient21. Understanding Mann-Whitney U Test22. Understanding Wilcoxon Signed-Rank TestPART 2: Conducting and Interpreting Statistical Analyses23. Selecting Appropriate Analysis Techniques for Studies24. Describing the Elements of Power Analysis: Power, Effect Size, Alpha, and Sample Size25. Conducting Power Analysis26. Determining the Normality of a Distribution27. Calculating Descriptive Statistics28. Handling Missing Data  NEW!29. Calculating Pearson Product-Moment Correlation Coefficient30. Calculating Simple Linear Regression31. Calculating Multiple Linear Regression32. Calculating t-tests for Independent Samples33. Calculating t-tests for Paired (Dependent) Samples34. Calculating the Mann-Whitney U Test  NEW!35. Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA36. Calculating Sensitivity and Specificity37. Calculating Pearson Chi-Square38. Calculating Odds Ratio and 95% Confidence IntervalsReferencesAppendicesAppendix 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 = 0.01Appendix D: Critical Values of the ?2 DistributionIndex

• ISBN: 978-0-323-93050-5
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 528
• Fecha Publicación: 29/04/2024
• Nº Volúmenes: 1
• Idioma: Inglés