Statistical Methods for Health Care Research
Focusing on the statistical methods most frequently used in the health care literature and featuring numerous charts, graphs, and up-to-date examples from the literature, this text provides a thorough foundation for the statistics portion of nursing and all health care research courses. All Fifth Edition chapters include new examples and new computer printouts using the latest software, SPSS for Windows, Version 12. New material on regression diagnostics has been added.\ \ \...
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Focusing on the statistical methods most frequently used in the health care literature and featuring numerous charts, graphs, and up-to-date examples from the literature, this text provides a thorough foundation for the statistics portion of nursing and all health care research courses. All Fifth Edition chapters include new examples and new computer printouts using the latest software, SPSS for Windows, Version 12. New material on regression diagnostics has been added. Doody Review Services Reviewer:Diane M Tomasic, EdD, RN(Slippery Rock University )Description:This book acquaints readers with the statistical techniques most commonly reported in research literature for the health professions. The previous edition was published in 1997.Purpose:The purpose is to present statistical techniques in the most understandable way possible. This information is needed to evaluate research studies, especially in light of math anxiety that plagues many individuals. The authors have made a complex subject easy to understand.Audience:The target audience is nursing students and nurse researchers. Health professional researchers will also find this book useful. The authors have taught courses in this area. Features:This book covers organizing and displaying data, descriptive statistics, introduction to inferential statistics and hypothesis testing, and parametric and nonparametric statistical techniques commonly reported. The focus is on use of and interpretation of the statistical techniques rather than mathematical calculations. Computer printouts and examples from the literature demonstrate statistical reporting. A data disk is provided for application exercises. Tables for common statistics are provided. Many chapters contain application exercises with answers.Assessment:This book is a must for understanding common statistics reported in the literature. Chapters have been revised and updated, including the glossary. Additional information on confirmatory factor analysis has been added. The authors' comments on the printouts provide for easier understanding.
Ch. 1Organizing and displaying data3Ch. 2Univariate descriptive statistics33Ch. 3Key principles of statistical inference73Ch. 4Selected nonparametric techniques109Ch. 5t tests : measuring the differences between group means137Ch. 6Differences among group means : one-way analysis of variance151Ch. 7Differences among group means : multifactorial analysis of variance173Ch. 8Analysis of covariance199Ch. 9Repeated measures analysis of variance213Ch. 10Correlation239Ch. 11Regression259Ch. 12Regression diagnostics and canonical correlation287Ch. 13Logistic regression301Ch. 14Exploratory factor analysis321Ch. 15Confirmatory factor analysis351Ch. 16Path analysis377Ch. 17Structural equation modeling405App. APercent of total area of normal curve between a z-score and the mean447App. BDistribution of X[superscript 2] probability449App. CDistribution of t451App. DThe 5% and 1% points for the distribution of F453App. ECritical values of the correlation coefficient457App. FTransformation of r to z[subscript r]459
\ BooknewsThe second edition of this text includes more techniques, reduced amount of calculations (which were kept to a minimum even in the first), and increased emphasis on interpretation of computer printouts. Includes a disk containing MYSTAT, a computerized statistical package. Annotation c. Book News, Inc., Portland, OR (booknews.com)\ \ \ \ \ Reviewer: Diane M Tomasic, EdD, RN(Slippery Rock University )\ Description: This book acquaints readers with the statistical techniques most commonly reported in research literature for the health professions. The previous edition was published in 1997.\ Purpose: The purpose is to present statistical techniques in the most understandable way possible. This information is needed to evaluate research studies, especially in light of math anxiety that plagues many individuals. The authors have made a complex subject easy to understand.\ Audience: The target audience is nursing students and nurse researchers. Health professional researchers will also find this book useful. The authors have taught courses in this area. \ Features: This book covers organizing and displaying data, descriptive statistics, introduction to inferential statistics and hypothesis testing, and parametric and nonparametric statistical techniques commonly reported. The focus is on use of and interpretation of the statistical techniques rather than mathematical calculations. Computer printouts and examples from the literature demonstrate statistical reporting. A data disk is provided for application exercises. Tables for common statistics are provided. Many chapters contain application exercises with answers.\ Assessment: This book is a must for understanding common statistics reported in the literature. Chapters have been revised and updated, including the glossary. Additional information on confirmatory factor analysis has been added. The authors' comments on the printouts provide for easier understanding.\ \ \ 5 Stars! from Doody\ \
