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Statistics for nursing research : a workbook for evidence-based practice / Susan K. Grove, PhD, RN, ANP-BC, GNP-BC, Professor Emerita, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, Adult Nurse Practitioner, Family Practice, Grand Prairie, Texas, Daisha J. Cipher, PhD, Associate Director of the Center for Research and Scholarship, Clinical Associate Professor, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas.

By: Contributor(s): St. Louis, Missouri, USA : Elsevier, Inc., ©2017Edition: Second editionDescription: xiv, 454 pages : illustrations (some color) ; 28 cmContent type:
  • text
ISBN:
  • 9780323358811 (pbk. : alk. paper)
Subject(s): DDC classification:
  • 23 610.727/G91
LOC classification:
  • RA409 .G76 2017
Other classification:
  • CHS/N
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.
Summary: Understand the statistical methods used in nursing research articles. Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition helps you interpret and analyze the statistical data found in health sciences research articles. Practical exercises show how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing statistics experts Susan Grove and Daisha Cipher, this is the only statistics workbook for nursing to include research examples from both nursing and medical literature for a complete perspective on health sciences research. -- Provided by publisher.
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Includes bibliographical references and index.

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.

Understand the statistical methods used in nursing research articles. Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition helps you interpret and analyze the statistical data found in health sciences research articles. Practical exercises show how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing statistics experts Susan Grove and Daisha Cipher, this is the only statistics workbook for nursing to include research examples from both nursing and medical literature for a complete perspective on health sciences research. -- Provided by publisher.

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