Performing Data Analysis Using IBM SPSS

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.

Author Biography

LAWRENCE S. MEYERS, PhD, is Professor in the Depart-mentof Psychology at California State University, Sacramento. Theauthor of numerous books, Dr. Meyers is a member of the Associationfor Psychological Science and the Society for Industrial andOrganiza-tional Psychology. GLENN C. GAMST, PhD, is Chair and Professor in theDepartment of Psychology at the University of La Verne. Hisresearch interests include univariate and multivariate statisticsas well as multicultural community mental health outcomeresearch. A. J. Guarino, PhD, is Professor of Biostatistics atMassachusetts General Hospital, Institute of Health Professions,where he serves as the methodologist for capstones anddissertations as well as teaching advanced Biostatistics courses.Dr. Guarino is also the statistician on numerous NationalInstitutes of Health grants and coauthor of several statisticaltextbooks.