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The second edition of Statistics and Data Analysis for Nursing , 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. Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. New to this edition are
updated research examples utilizinging examples from an international mix of studies published by nurse researchers in 2006-2009.
Chapter 1: Introduction to Data Analysis in an Evidence-Based Practice Environment
Chapter 2: Frequency Distribution: Tabulating and Displaying Data
Chapter 3: Central Tendency, Variability, and Location
Chapter 4: Correlation, Crosstabulation, and Risk Indexes: Describing Relationships:
Chapter 5: Statistical Inference
Chapter 6: t Tests
Chapter 7: Analysis of Variance
Chapter 8: Chi Square and Other Nonparametric Tests
Chapter 9: Correlation and Simple Regression
Chapter 10: Multiple Regression
Chapter 11: Analysis of Covariance, MANOVA, and Other Related Multivariate Techniques
Chapter 12: Using Logistic Regression
Chapter 13: Factor Analysis and Internal Consistency Reliability Analysis
Chapter 14: Missing Values
Appendix A: Theoretical Probability Tables
Appendix B: Power Analysis/Effect Size Tables
Appendix C: Tips on Handling Missing Data
ISBN-10: 0135085071
ISBN-13: 978-0135085073 9780135085073
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