PDF Download Performing Data Analysis Using IBM SPSS, by Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino
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Performing Data Analysis Using IBM SPSS, by Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino
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Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS�
Performing Data Analysis Using IBM SPSS� uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output.
Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis.
The book provides in-depth chapter coverage of:
- IBM SPSS statistical output
- Descriptive statistics procedures
- Score distribution assumption evaluations
- Bivariate correlation
- Regressing (predicting) quantitative and categorical variables
- Survival analysis
- t Test
- ANOVA and ANCOVA
- Multivariate group differences
- Multidimensional scaling
- Cluster analysis
- Nonparametric procedures for frequency data
Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.
- Sales Rank: #141446 in Books
- Published on: 2013-08-12
- Original language: English
- Number of items: 1
- Dimensions: 11.05" h x 1.54" w x 8.60" l, 3.65 pounds
- Binding: Paperback
- 736 pages
From the Back Cover
Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS�
Performing Data Analysis Using IBM SPSS� uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output.
Designed as a user's guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis.
The book provides in-depth chapter coverage of:
- IBM SPSS statistical output
- Descriptive statistics procedures
- Score distribution assumption evaluations
- Bivariate correlation
- Regressing (predicting) quantitative and categorical variables
- Survival analysis
- t Test
- ANOVA and ANCOVA
- Multivariate group differences
- Multidimensional scaling
- Cluster analysis
- Nonparametric procedures for frequency data
Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.
About the Author
LAWRENCE S. MEYERS, PhD, is Professor in the Depart-ment of Psychology at California State University, Sacramento. The author of numerous books, Dr. Meyers is a member of the Association for Psychological Science and the Society for Industrial and Organiza-tional Psychology.
GLENN C. GAMST, PhD, is Chair and Professor in the Department of Psychology at the University of La Verne. His research interests include univariate and multivariate statistics as well as multicultural community mental health outcome research.
A. J. Guarino, PhD, is Professor of Biostatistics at Massachusetts General Hospital, Institute of Health Professions, where he serves as the methodologist for capstones and dissertations as well as teaching advanced Biostatistics courses. Dr. Guarino is also the statistician on numerous National Institutes of Health grants and coauthor of several statistical textbooks.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Easy to Understand
By Ashley
This book shows you how to perform various analyses in SPSS through screenshots and step-by-step instructions of what to click in SPSS. In addition, it discusses how to interpret the output of each analysis. This book is best used as a companion to a traditional statistics textbook because the background provided for each type of analysis is very brief.
0 of 0 people found the following review helpful.
Five Stars
By patience nyawo
Fantastic and user friendly.
0 of 2 people found the following review helpful.
Lots of content
By Robert E. Dillon, MS, NP, CARN-AP, FAAPM
excellent conceptual review for heathcare and bio students , this is what you need to design studies.
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