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Statistics for nursing research : a workbook for evidence-based practice / Susan K. Grove, Daisha J. Cipher.

By: Grove, Susan K., author.
Contributor(s): Cipher, Daisha J., author.
Call number: RA409 G76 2017 Material type: TextTextPublisher: St. Louis, Missouri : Elsevier, [2017]Edition: Second edition.Description: xiv, 454 pages : illustrations (some color) ; 28 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780323358811 (pbk. : alk. paper) ; 0323358810 (pbk. : alk. paper)Subject(s): Medicine -- Research -- Statistical methods | Research | Statistics as Topic
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 Pearsons 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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Item type Location Location Call number Copy number Barcode Status Date due
10000 General Book General Book ODI General Collection
ODI General Collection RA409 G76 2017 (Browse shelf) 1 1000515249 Available

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 Pearsons 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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