This book is designed to be a user's guide for students and other interested readers to perform statistical data analysis with IBM SPSS, which is a major statistical software package used extensively in academic, government and business settings. IBM SPSS has a user-friendly point-and-click interface and a robust selection of statistical and data analytic procedures. This book addresses the needs, level of sophistication and interest in introductory statistical methodology on the part of undergraduate students as well as more advanced students in social and behavioral science, business, health-related and education programs. Each chapter covers a particular statistical procedure and has the following format: 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.
·Getting Started with IBM SPSS®
·Obtaining, Editing and Saving Statistical Output
·Manipulating Data
·Descriptive Statistics Procedures
·Simple Data Transformations
·Evaluating Score Distribution Assumptions
·Bivariate Correlation
·Regressing (Predicting) Quantitative Variables
·Regressing (Predicting) Categorical Variables
·Survival Analysis
·Reliability as a Gauge of Measurement Quality
·Analysis of Structure
·Evaluating Causal (Predictive) Models
·T Test
·Univariate Group Differences: Anova and Ancova
·Multivariate Group Differences: Manova and Discriminant Function Analysis
·Multidimensional Scaling
·Cluster Analysis
·Nonparametric Procedures for Analyzing Frequency Data
About the Author
Lawrence S. Meyers is Professor in the Department of Psychology at California State Univesrity, Sacramento. The author of numerous books and a member of the Association of Psychological Sciences and the Society for Industrial and Organizational Psychology.
Glenn C. Gamst, is Chair and Professor in the Department of Psychology at the University of La Verne. His research interests include univariate and multivariate statistics and multicultural community mental health outcome research.
Anthony J. Guarino is Professor of Biostatistics at the MGH Institute of Health Professions in Boston, Massachusetts. A member of the Association of Psychological Sciences and the American Educational Research Association.
