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Statistics for nursing research a workbook for evidence-based practice

By: Contributor(s): Publication details: St. Louis, Missouri Elsevier 2020Edition: 3 editionISBN:
  • 9780323654111
Subject(s): NLM classification:
  • WY 20.5
Contents:
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 Chi Square -- 20. Understanding Spearman Rank-Order Correlation Coefficient -- 21. Understanding Mann-Whitney U Test -- 22. Understanding Wilcoxon Matched-Pairs Signed-Ranks Test -- Part 2: Conducting and Interpreting Statistical Analyses -- 23. Selecting Appropriate Analysis Techniques for Studies -- 24. Describing the Elements of Power Analysis: Standard 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.
List(s) this item appears in: statistics research methodology สถิติ วิจัย ระเบียบวิธีวิจัย (update2023)
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode Item holds
General Book General Book Kuakarun Nursing Library Shelving Cart WY 20.5 S369S 2020 (Browse shelf(Opens below)) Available 0000044784
General Book General Book Kuakarun Nursing Library Shelving Cart WY 20.5 S369S 2020 (Browse shelf(Opens below)) c.2 Available 0000049475
Total holds: 0

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 Chi Square -- 20. Understanding Spearman Rank-Order Correlation Coefficient -- 21. Understanding Mann-Whitney U Test -- 22. Understanding Wilcoxon Matched-Pairs Signed-Ranks Test -- Part 2: Conducting and Interpreting Statistical Analyses -- 23. Selecting Appropriate Analysis Techniques for Studies -- 24. Describing the Elements of Power Analysis: Standard 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.

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