Published by Pearson (August 5, 2009) © 2010
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Chapter Chapter Title
1 Introduction to Data Analysis in an Evidence-Based Practice Environment
2 Frequency Distribution: Tabulating and Displaying Data
3 Central Tendency, Variability, and Location
4 Correlation, Crosstabulation, and Risk Indexes: Describing Relationships:
5 Statistical Inference
6 t Tests
7 Analysis of Variance
8 Chi Square and Other Nonparametric Tests
9 Correlation and Simple Regression
10 Multiple Regression
11 Analysis of Covariance, MANOVA, and Other Related Multivariate Techniques
12 Using Logistic Regression
13 Factor Analysis and Internal Consistency Reliability Analysis
14 Missing Values
Appendix A: Theoretical Probability Tables
Appendix B: Power Analysis/Effect Size Tables
Appendix C: Tips on Handling Missing Data
Appendix D: Answers for Selected Exercises