Performing Data Analysis Using IBM SPSS

by Lawrence S. Meyers

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 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. Chapter Introduction to IBM SPSS; Performing Analyses and Viewing Data; Manipulating Data; Descriptive Statistics Procedures; Simple Data Transformations; Score Distribution Assumptions; Correlation and Prediction; Comparinf Means of t test and Analysis of Variance (ANOVA); Nonparametric Procedures; Advanced ANOVA Techniques; Analysis of Structure; Grouping Cases; and Time Dependent Analyses.

736 pages, Kindle Edition

First published September 6, 2013