** Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino ... 736 pages - Publisher: Wiley; (August, 2013) ... Language: English - ISBN-10: 1118357019 - ISBN-13: 978-1118357019.**

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.