Statistics and data analysis for nursing research
This edition uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings. Readers are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so
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| Format: | Book |
| Language: | English |
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Upper Saddle River, New Jersey :
Pearson ,
c2010
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Table of Contents:
- 1. Introduction to data analysis in an evidence-based practice environment
- 2. Frequency distributions : tabulating and displaying data
- 3. Central tendency, variability, and relative standing
- 4. Bivariate description : crosstabulation, risk indexes, and correlation
- 5. Statistical inference
- 6. T tests : testing two mean differences
- 7. Analysis of variance
- 8. Chi-square and other nonparametric tests
- 9. Correlation and simple regression
- 10. Multiple regression
- 11. Analysis of covariance, multivariate ANOVA, and related multivariate analyses
- 12. Logistic regression
- 13. Factor analysis and internal consistency reliability analysis
- 14. Missing values