Statistics and Data Analysis for Nursing Research

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  • Edition: 2nd
  • Format: Paperback
  • Copyright: 2009-08-05
  • Publisher: Pearson

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The second edition ofStatistics 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. Graduate nursing students or professional nurses needing an additional resource.

Author Biography

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.

Table of Contents

Introduction to Data Analysis in an Evidence-Based Practice Environmentp. 1
Frequency Distributions: Tabulating and Displaying Datap. 19
Central Tendency, Variability, and Relative Standingp. 39
Bivariate Description: Crosstabulation, Risk Indexes, and Correlationp. 59
Statistical Inferencep. 83
t Tests: Testing Two Mean Differencesp. 114
Analysis of Variancep. 137
Chi-Square and Nonparametric Testsp. 169
Correlation and Simple Regressionp. 197
Multiple Regressionp. 223
Analysis of Covariance, Multivariate ANOVA, and Related Multivariate Analysesp. 263
Logistic Regressionp. 306
Factor Analysis and Internal Consistency Reliability Analysisp. 333
Missing Valuesp. 365
Referencesp. 392
Glossaryp. 397
Theoretical Sampling Distribution Tablesp. 410
Tables for Power Analysesp. 421
Answers to Exercises, Part Ap. 426
Indexp. 430
Table of Contents provided by Ingram. All Rights Reserved.

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