Learn how to expand your interpretation and application of statistical methods used in nursing and health sciences research articles with Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 3rd Edition. Perfect for those seeking to more effectively build an evidence-based practice, this collection of practical exercises guides you in how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing research and statistics experts Drs. Susan K. Grove and Daisha Cipher, this is the only statistics workbook for nurses to include research examples from both nursing and the broader health sciences literature. This new third edition features new research article excerpts and examples, an enhanced focused on statistical methods commonly used in DNP projects, new examples from quality improvement projects, new content on paired samples analysis, expanded coverage of calculating descriptive statistics, an online Research Article Library, and more! Whether used in undergraduate, master’s, or doctoral education or in clinical practice, this workbook is an indispensable resource for any nursing student or practicing nurse needing to interpret or apply statistical data.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Dedication - p. v 6. Preface - p. vi 7. Acknowledgments - p. vii 8. Part 1: Understanding Statistical Methods - p. viii 9. 1. Identifying levels of measurement: Nominal, ordinal, interval, and ratio - p. viii 10. 2. Identifying probability and nonprobability sampling methods in studies - p. 14 11. 3. Understanding the sampling section of a research report: Population, sampling criteria, sample size, refusal rate, and attrition rate - p. 29 12. 4. Understanding reliability of measurement methods - p. 39 13. 5. Understanding validity of measurement methods - p. 51 14. 6. Understanding frequencies and percentages - p. 61 15. 7. Interpreting line graphs - p. 71 16. 8. Measures of central tendency: Mean, median, and mode - p. 81 17. 9. Measures of dispersion: Range and standard deviation - p. 93 18. 10. Description of a study sample - p. 103 19. 11. Interpreting scatterplots - p. 113 20. 12. Algorithm for determining the appropriateness of inferential statistical techniques - p. 123 21. 13. Understanding Pearson product-moment correlation coefficient - p. 134 22. 14. Understanding simple linear regression - p. 145 23. 15. Understanding multiple linear regression - p. 157 24. 16. Understanding independent samples t-test - p. 170 25. 17. Understanding paired or dependent samples t-test - p. 181 26. 18. Understanding analysis of variance (ANOVA) and post hoc analyses - p. 192 27. 19. Understanding Pearson chi-square - p. 204 28. 20. Understanding Spearman rank-order correlation coefficient - p. 216 29. 21. Understanding Mann-Whitney U test - p. 228 30. 22. Understanding Wilcoxon signed-rank test - p. 240 31. Part 2: Conducting and Interpreting Statistical Analyses - p. 253 32. 23. Selecting appropriate analysis techniques for studies - p. 253 33. 24. Describing the elements of power analysis: Power, effect size, alpha, and sample size - p. 266 34. 25. Conducting power analysis - p. 277 35. 26. Determining the normality of a distribution - p. 297 36. 27. Calculating descriptive statistics - p. 318 37. 28. Calculating Pearson product-moment correlation coefficient - p. 333 38. 29. Calculating simple linear regression - p. 345 39. 30. Calculating multiple linear regression - p. 361 40. 31. Calculating t-tests for independent samples - p. 378 41. 32. Calculating t-tests for paired (dependent) samples - p. 393 42. 33. Calculating analysis of variance (ANOVA) and post hoc analyses following ANOVA - p. 407 43. 34. Calculating sensitivity and specificity - p. 423 44. 35. Calculating Pearson chi-square - p. 439 45. 36. Calculating odds ratio and 95% confidence intervals - p. 451 46. References - p. 467 47. Appendix A: Critical values for student's t distribution - p. 467 48. Appendix B: Critical values of r for Pearson product moment correlation coefficient - p. 469 49. Appendix C: Critical values of F for α = 005 and α = 001 - p. 470 50. Appendix D: Critical values of the χ2 distribution - p. 472 51. Index - p. 474 52. Inside back cover - p. 475 53. Contents - p. 476
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Learn how to expand your interpretation and application of statistical methods used in nursing and health sciences research articles with Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 3rd Edition. Perfect for those seeking to more effectively build an evidence-based practice, this collection of practical exercises guides you in how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing research and statistics experts Drs. Susan K. Grove and Daisha Cipher, this is the only statistics workbook for nurses to include research examples from both nursing and the broader health sciences literature. This new third edition features new research article excerpts and examples, an enhanced focused on statistical methods commonly used in DNP projects, new examples from quality improvement projects, new content on paired samples analysis, expanded coverage of calculating descriptive statistics, an online Research Article Library, and more! Whether used in undergraduate, master’s, or doctoral education or in clinical practice, this workbook is an indispensable resource for any nursing student or practicing nurse needing to interpret or apply statistical data.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Dedication - p. v 6. Preface - p. vi 7. Acknowledgments - p. vii 8. Part 1: Understanding Statistical Methods - p. viii 9. 1. Identifying levels of measurement: Nominal, ordinal, interval, and ratio - p. viii 10. 2. Identifying probability and nonprobability sampling methods in studies - p. 14 11. 3. Understanding the sampling section of a research report: Population, sampling criteria, sample size, refusal rate, and attrition rate - p. 29 12. 4. Understanding reliability of measurement methods - p. 39 13. 5. Understanding validity of measurement methods - p. 51 14. 6. Understanding frequencies and percentages - p. 61 15. 7. Interpreting line graphs - p. 71 16. 8. Measures of central tendency: Mean, median, and mode - p. 81 17. 9. Measures of dispersion: Range and standard deviation - p. 93 18. 10. Description of a study sample - p. 103 19. 11. Interpreting scatterplots - p. 113 20. 12. Algorithm for determining the appropriateness of inferential statistical techniques - p. 123 21. 13. Understanding Pearson product-moment correlation coefficient - p. 134 22. 14. Understanding simple linear regression - p. 145 23. 15. Understanding multiple linear regression - p. 157 24. 16. Understanding independent samples t-test - p. 170 25. 17. Understanding paired or dependent samples t-test - p. 181 26. 18. Understanding analysis of variance (ANOVA) and post hoc analyses - p. 192 27. 19. Understanding Pearson chi-square - p. 204 28. 20. Understanding Spearman rank-order correlation coefficient - p. 216 29. 21. Understanding Mann-Whitney U test - p. 228 30. 22. Understanding Wilcoxon signed-rank test - p. 240 31. Part 2: Conducting and Interpreting Statistical Analyses - p. 253 32. 23. Selecting appropriate analysis techniques for studies - p. 253 33. 24. Describing the elements of power analysis: Power, effect size, alpha, and sample size - p. 266 34. 25. Conducting power analysis - p. 277 35. 26. Determining the normality of a distribution - p. 297 36. 27. Calculating descriptive statistics - p. 318 37. 28. Calculating Pearson product-moment correlation coefficient - p. 333 38. 29. Calculating simple linear regression - p. 345 39. 30. Calculating multiple linear regression - p. 361 40. 31. Calculating t-tests for independent samples - p. 378 41. 32. Calculating t-tests for paired (dependent) samples - p. 393 42. 33. Calculating analysis of variance (ANOVA) and post hoc analyses following ANOVA - p. 407 43. 34. Calculating sensitivity and specificity - p. 423 44. 35. Calculating Pearson chi-square - p. 439 45. 36. Calculating odds ratio and 95% confidence intervals - p. 451 46. References - p. 467 47. Appendix A: Critical values for student's t distribution - p. 467 48. Appendix B: Critical values of r for Pearson product moment correlation coefficient - p. 469 49. Appendix C: Critical values of F for α = 005 and α = 001 - p. 470 50. Appendix D: Critical values of the χ2 distribution - p. 472 51. Index - p. 474 52. Inside back cover - p. 475 53. Contents - p. 476
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