Spss for Windows Step by Step

by George, Darren; Mallery, Paul

• ISBN13: 9780205331277
• ISBN10: 0205331270
• Format: Paperback
• Copyright: 2000-10-01
• Publisher: Taylor & Francis

Summary

This book is designed to simplify the process of data analysis using SPSS. The clarity of this book is established by extensive use of screen shots (more than 200), clear writing, and step-by-step boxes (more than 500) that show how to accomplish any procedure one step at a time. Students, even novices, can independently learn from this comprehensive and straightforward treatment.

Table of Contents

An Overview of SPSS for Windows Step by Step	1	(8)
SPPS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results	9	(18)
Creating and Editing a Data File	27	(14)
Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files	41	(24)
Graphs: Creating and editing graphs and charts	65	(8)
BASE SYSTEM MODULE
Frequencies: Frequencies, bar charts, histograms, percentiles	73	(10)
Descriptive Statistics: Measures of central tendency, variability, deviation from normality, size, and stability	83	(10)
Crosstabulation and Chi-Square (χ2) Analyses	93	(10)
The MEANS Procedure	103	(8)
Bivariate Correlation: Bivariate correlations, partial correlations, and the correlation matrix	111	(10)
The T Test Procedure: Independent-samples, paired-samples, and one-sample tests	121	(10)
The One-Way ANOVA Procedure: One-way Analysis of Variance	131	(10)
General Linear Models: Two-Way Analysis of Variance	141	(8)
General Linear Models: Three-Way Analysis of Variance and the influence of covariates	149	(16)
Simple Linear Regression	165	(14)
Multiple Regression Analysis	179	(14)
Nonparametric Procedures	193	(14)
Reliability Analysis: Coefficient alpha (α) and split-half reliability	207	(12)
Multidimensional Scaling	219	(12)
Factor Analysis	231	(16)
Cluster Analysis	247	(16)
Discriminant Analysis	263	(16)
ADVANCED AND REGRESSION MODULES
General Linear Models: MANOVA and MANCOVA Multivariate Analysis of Variance and Covariance	279	(14)
General Linear Models: Repeated-Measures Manova: Multivariate Analysis of Variance with repeated measures and within-subjects factors	293	(12)
Logistic Regression	305	(12)
Hierarchical Loglinear Models	317	(14)
General Loglinear Models	331	(10)
Residuals: Analyzing left-over variance	341	(8)
Data Files	349	(4)
Glossary	353	(11)
References	364	(2)
Index	366