Statistics and Data Analysis for Nursing Research / Edition 2

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Overview

Statistics and Data Analysis for Nursing Research 2e

Denise F. Polit, PdD

Users praised the accessibility, clarity, and user-friendliness of the first edition of Statistics and Data Analysis for Nursing Research. Now, the push for evidence-based practice (EBP) in nursing and health care makes this new edition timely. The style and practical emphasis of the first edition have been retained, but important innovations have also been introduced, making it even easier to embark on a professional pathway that includes statistical analysis. As in the first edition, the content includes descriptive statistics, bivariate inferential statistics, and many widely-used multivariate statistics. It assumes virtually no prior knowledge of statistics.

NEW TO THIS EDITION

  • Emphasis on evidence-based practice

· SPSS Version 16.0 was used to generate output for the book

· Missing Values are demystified

· Factor Analysis content is expanded

· Power Analysis methods are explained

Additional Resources:

Online Applications Manual for Statistics and Data Analysis for Nursing Research 2e

Online resource for Application Exercises with three complete data sets, compatible with SPSS, as well as additional resources.

www.pearsonhighered.com/polit

[Pearson Education]

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Product Details

  • ISBN-13: 9780135085073
  • Publisher: Prentice Hall
  • Publication date: 8/19/2009
  • Edition description: New Edition
  • Edition number: 2
  • Pages: 490
  • Sales rank: 124,318
  • Product dimensions: 7.90 (w) x 9.90 (h) x 0.50 (d)

Meet the Author

Susan Norwood is a professor of nursing at Saint Anselm College in Manchester, New Hampshire, where she teaches critical care nursing, professional nursing, ethics, and understanding suffering. She received her bachelor’s degree from the University of Massachusetts, Amherst, her master’s degree from Boston College, and her PhD from Union Institute and University in Cincinnati, Ohio. She has been a practicing critical care nurse for over 30 years and a member of the American Association of Critical Care Nurses for nearly as long. She has published and presented in the areas of critical care nursing, nursing ethics, nursing history, suffering experienced by patients as well as health care providers, and conflict among members of the health care team.

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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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