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.
1. Instructions for online access - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. vii 8. Acknowledgments - p. xi 9. List of Illustrations - p. xiii 10. List of Tables - p. xiv 11. Part 1. Understanding Statistical Methods - p. 1 12. 1. Identifying levels of measurement: Nominal, ordinal, interval, and ratio - p. 3 13. 2. Understanding the sampling section of a research report: Population, sampling criteria, sample size, refusal rate, and attrition rate - p. 16 14. 3. Identifying probability and nonprobability sampling methods in studies - p. 28 15. 4. Understanding reliability of measurement methods - p. 44 16. 5. Understanding validity of measurement methods - p. 56 17. 6. Understanding frequencies and percentages - p. 70 18. 7. Interpreting line graphs - p. 82 19. 8. Measures of central tendency: Mean, median, and mode - p. 92 20. 9. Measures of dispersion: Range and standard deviation - p. 104 21. 10. Description of a study sample - p. 116 22. 11. Interpreting scatterplots - p. 128 23. 12. Algorithm for determining the appropriateness of inferential statistical techniques included in research reports - p. 140 24. 13. Understanding Pearson product-moment correlation coefficient - p. 153 25. 14. Understanding simple linear regression - p. 166 26. 15. Understanding multiple linear regression - p. 178 27. 16. Understanding the independent samples t-test - p. 190 28. 17. Understanding the paired samples t-test - p. 202 29. 18. Understanding analysis of variance and post hoc analyses - p. 214 30. 19. Understanding the Pearson chi-square - p. 226 31. 20. Understanding spearman rank-order correlation coefficient - p. 235 32. 21. Understanding Mann-Whitney U test - p. 246 33. 22. Understanding the Wilcoxon signed-rank test - p. 255 34. Part 2. Conducting and Interpreting Statistical Analyses - p. 265 35. 23. Selecting appropriate analysis techniques for studies - p. 267 36. 24. Describing the elements of power analysis: Power, effect size, alpha, and sample size - p. 280 37. 25. Conducting power analysis - p. 290 38. 26. Handling missing data - p. 308 39. 27. Determining the normality of a distribution - p. 326 40. 28. Calculating descriptive statistics - p. 346 41. 29. Calculating the Pearson product-moment correlation coefficient - p. 363 42. 30. Calculating simple linear regression - p. 378 43. 31. Calculating multiple linear regression - p. 394 44. 32. Calculating t-tests for independent samples - p. 412 45. 33. Calculating t-tests for paired (dependent) samples - p. 426 46. 34. Calculating the Mann-Whitney U test - p. 442 47. 35. Calculating analysis of variance (ANOVA) and post hoc analyses after ANOVA - p. 456 48. 36. Calculating sensitivity and specificity - p. 474 49. 37. Calculating the Pearson chi-square - p. 490 50. 38. Calculating odds ratio and 95% confidence intervals - p. 504 51. References - p. 518 52. Appendix A: Critical values for student’s t distribution - p. 525 53. Appendix B: Critical values of r for Pearson product moment correlation coefficient - p. 527 54. Appendix C: Critical values of F for α = 0.05 and α = 0.01 - p. 528 55. Appendix D: Critical values of the chi square distribution - p. 530 56. Index - p. 531
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.
1. Instructions for online access - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. vii 8. Acknowledgments - p. xi 9. List of Illustrations - p. xiii 10. List of Tables - p. xiv 11. Part 1. Understanding Statistical Methods - p. 1 12. 1. Identifying levels of measurement: Nominal, ordinal, interval, and ratio - p. 3 13. 2. Understanding the sampling section of a research report: Population, sampling criteria, sample size, refusal rate, and attrition rate - p. 16 14. 3. Identifying probability and nonprobability sampling methods in studies - p. 28 15. 4. Understanding reliability of measurement methods - p. 44 16. 5. Understanding validity of measurement methods - p. 56 17. 6. Understanding frequencies and percentages - p. 70 18. 7. Interpreting line graphs - p. 82 19. 8. Measures of central tendency: Mean, median, and mode - p. 92 20. 9. Measures of dispersion: Range and standard deviation - p. 104 21. 10. Description of a study sample - p. 116 22. 11. Interpreting scatterplots - p. 128 23. 12. Algorithm for determining the appropriateness of inferential statistical techniques included in research reports - p. 140 24. 13. Understanding Pearson product-moment correlation coefficient - p. 153 25. 14. Understanding simple linear regression - p. 166 26. 15. Understanding multiple linear regression - p. 178 27. 16. Understanding the independent samples t-test - p. 190 28. 17. Understanding the paired samples t-test - p. 202 29. 18. Understanding analysis of variance and post hoc analyses - p. 214 30. 19. Understanding the Pearson chi-square - p. 226 31. 20. Understanding spearman rank-order correlation coefficient - p. 235 32. 21. Understanding Mann-Whitney U test - p. 246 33. 22. Understanding the Wilcoxon signed-rank test - p. 255 34. Part 2. Conducting and Interpreting Statistical Analyses - p. 265 35. 23. Selecting appropriate analysis techniques for studies - p. 267 36. 24. Describing the elements of power analysis: Power, effect size, alpha, and sample size - p. 280 37. 25. Conducting power analysis - p. 290 38. 26. Handling missing data - p. 308 39. 27. Determining the normality of a distribution - p. 326 40. 28. Calculating descriptive statistics - p. 346 41. 29. Calculating the Pearson product-moment correlation coefficient - p. 363 42. 30. Calculating simple linear regression - p. 378 43. 31. Calculating multiple linear regression - p. 394 44. 32. Calculating t-tests for independent samples - p. 412 45. 33. Calculating t-tests for paired (dependent) samples - p. 426 46. 34. Calculating the Mann-Whitney U test - p. 442 47. 35. Calculating analysis of variance (ANOVA) and post hoc analyses after ANOVA - p. 456 48. 36. Calculating sensitivity and specificity - p. 474 49. 37. Calculating the Pearson chi-square - p. 490 50. 38. Calculating odds ratio and 95% confidence intervals - p. 504 51. References - p. 518 52. Appendix A: Critical values for student’s t distribution - p. 525 53. Appendix B: Critical values of r for Pearson product moment correlation coefficient - p. 527 54. Appendix C: Critical values of F for α = 0.05 and α = 0.01 - p. 528 55. Appendix D: Critical values of the chi square distribution - p. 530 56. Index - p. 531
