Data Analysis and Statistics for Nursing Research / Edition 1

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Overview

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.

The book contains black-and-white illustrations.

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Editorial Reviews

Doody's Review Service
Reviewer: Margaret Nield, RN, PhD (University of Texas at Austin School of Nursing)
Description: This unique focus of this statistics textbook is on the process of nursing research data analysis — the how, when, and why of analysis — rather than on statistical theory and calculation of statistics.
Purpose: The purpose is to present statistical techniques within a context of data analysis so that the student learns how to readily apply and interpret the results. The author succeeds in meeting the book's objective.
Audience: The target audience is nursing students in an introductory statistics course. However, graduate students would find it a useful supplement to a course on research design.
Features: The clear writing style, the inclusion of healthcare research and computer printout examples, and a logical progression from statistics to causal modeling make the book a valuable teaching aid. A particularly practical feature for each chapter is the identification of specific research questions appropriate to the statistical procedure. Because of the conceptual nature of the book, the statistical calculations are kept at a minimum. Graphs and figures are used to clarify complex relationships and add to the textbook's readability. The references are pertinent.
Assessment: The book would be a useful addition to the personal library of the clinical nurse researchers and healthcare libraries.
Margaret Nield
This unique focus of this statistics textbook is on the process of nursing research data analysis -- the how, when, and why of analysis -- rather than on statistical theory and calculation of statistics. The purpose is to present statistical techniques within a context of data analysis so that the student learns how to readily apply and interpret the results. The author succeeds in meeting the book's objective. The target audience is nursing students in an introductory statistics course. However, graduate students would find it a useful supplement to a course on research design. The clear writing style, the inclusion of healthcare research and computer printout examples, and a logical progression from statistics to causal modeling make the book a valuable teaching aid. A particularly practical feature for each chapter is the identification of specific research questions appropriate to the statistical procedure. Because of the conceptual nature of the book, the statistical calculations are kept at a minimum. Graphs and figures are used to clarify complex relationships and add to the textbook's readability. The references are pertinent. The book would be a useful addition to the personal library of the clinical nurse researchers and healthcare libraries.

4 Stars! from Doody
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Product Details

  • ISBN-13: 9780838563298
  • Publisher: Prentice Hall
  • Publication date: 1/5/1996
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 512
  • Product dimensions: 7.02 (w) x 9.10 (h) x 1.09 (d)

Table of Contents

Preface
Acknowledgments
1 Introduction to Data Analysis 1
2 Univariate Statistics: Tabulating and Displaying Data 19
3 Univariate Statistics: Central Tendency and Variability 43
4 Bivariate Description 69
5 Statistical Inference 91
6 Testing the Difference Between Two Means: The Two-Sample t-Test 127
7 Analysis of Variance 155
8 Chi-Square and Other Nonparametric Tests 193
9 Correlation and Simple Regression 225
10 Multiple Regression 257
11 Analysis of Covariance, Multivariate ANOVA, and Canonical Analysis 305
12 Factor Analysis 345
13 Discriminant Analysis and Logistic Regression 381
14 Causal Modeling: Path Analysis and Linear Structural Relations Analysis 413
References 439
Glossary 445
Appendix A. Answers for Selected Exercises 461
Appendix B. Theoretical Probability Distribution Tables 469
Appendix C. Tables for Power Analyses 481
Name Index 489
Subject Index 493
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