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Statistics and Data Analysis for Nursing Research, CourseSmart eTextbook, 2nd Edition

By Denise F. Polit

Published by Prentice Hall

Published Date: Jul 28, 2009

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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. Students are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. In addition, management of data, including how and why to recode variables for analysis, how to "clean" data, and how to work around missing data, is discussed.

Table of Contents

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

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Statistics and Data Analysis for Nursing Research, CourseSmart eTextbook, 2nd Edition
Format: Safari Book

$43.99 | ISBN-13: 978-0-13-510550-4