Statistics and Data Analysis for Nursing Research
2nd Edition
Published on 19. January 2010
Book
Paperback/Softback
456 pages
978-0-13-508507-3 (ISBN)
Description
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. 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.
updated research examples utilizinging examples from an international mix of studies published by nurse researchers in 2006-2009.
More details
Edition
2nd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 251 mm
Width: 203 mm
Thickness: 16 mm
Weight
680 gr
ISBN-13
978-0-13-508507-3 (9780135085073)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Denise Polit | Eileen Lake
Statistics and Data Analysis for Nursing
Book
09/2021
3rd Edition
Pearson
€116.14
Shipment within 15-20 days
Previous edition
Denise F. Polit
Data Analysis and Statistics for Nursing Research
Book
01/1996
Appleton and Lange
€70.75
Article exhausted; check for reprint
Person
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.
Content
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
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