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Statistics and Data Analysis for Nursing Research

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  • Edition: 1st
  • Format: Paperback
  • Copyright: 2010-01-01
  • Publisher: Prentice Hall
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Introductory text covers the statistical methods and procedures needed to analyze research findings. Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. Graduate nursing students.

Table of Contents

1. Introduction to Data Analysis.
2. Univariate Statistics: Tabulating and Displaying Data.
3. Univariate Statistics: Central Tendency and Variability.
4. Bivariate Description.
5. Statistical Inference.
6. Testing the Difference Between Two Means: The Two-Sample t-Test.
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 Canonical Analysis.
12. Factor Analysis.
13. Discriminant Analysis and Logistic Regression.
14. Causal Modeling: Path Analysis and Linear Structural Relations Analysis.
Appendix A: Answers for Selected Exercises.
Appendix B: Theoretical Probability Distribution Tables.
Appendix C: Tables for Power Analyses.

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