SPSS for Windows Step by Step : A Simple Guide and Reference 12. 0 Update

by George, Darren; Mallery, Paul

• ISBN13: 9780205452453
• ISBN10: 0205452450
• Edition: 5th
• Format: Paperback
• Copyright: 2005-01-01
• Publisher: Allyn & Bacon

Summary

SPSS for Windows Step by Step: A Simple Guide and Reference 12.0 Update efficiently shows you how to perform the most common data analysis procedures in SPSS. It is brief but comprehensive. The first part of the book explains the basics of creating and formatting a data set, and a chapter on graphs to accommodate the changes in SPSS 12.0. Chapters 6-28 explain, step-by-step, the most common procedures in the Base System Module and the Advanced and Regression Modules; each chapter is arranged in three parts: "Introduction" explains the following procedure at the general, conceptual level, avoiding excessive detail and excessive emphasis on computation. "Step by Step" boxes and screen shots break down each procedure with clear references to tasks covered in previous chapters. "Outcome" explains the output of what you have just performed and defines critical terms. All data sets used in this book are available for download on the companion website: http://www.ablongman.com/george5e, saving you the time of entering data.

Table of Contents

An Overview of SPSS for Windows Step by Step

SPSS Windows Processes

Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option

Creating and Editing a Data File

Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files

Graphs: Creating and editing graphs and charts

Base System Module

Frequencies: Frequencies, bar charts, histograms, percentiles

Descriptive Statistics

Measures of central tendency, variability, deviation from normality, size, and stability

Crosstabulation and Chi-Square (*2) Analyses

The Means Procedure

Bivariate Correlation: Bivariate correlations, partial correlations, and the correlation matrix

The T Test Procedure: Independent-samples, paired-samples, and one-sample tests

The One-Way ANOVA Procedure: One-way Analysis of Variance

General Linear Models: Two-Way Analysis of Variance

General Linear Models: Three-Way Analysis of Variance and the influence of covariates

Simple Linear Regression

Multiple Regression Analysis

Nonparametric Procedures

Reliability Analysis: Coefficient alpha (*) and split-half reliability

Multidimensional Scaling

Factor Analysis

Cluster Analysis

Discriminant Analysis

Advanced and Regression Modules

General Linear Models: MANOVA and MANCOVA Multivariate Analysis of Variance and Covariance

General Linear Models: Repeated-Measures MANOVA: Multivariate Analysis of Variance with repeated measures and within-subjects factors

Logistic Regression

Hierarchical Loglinear Models

General Loglinear Models

Residuals: Analyzing left-over variance

Data Disk

Glossary

References

Index

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