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SPSS for Windows Step by Step : A Simple Guide and Reference, 10.0 Update

by: George, Darren; Mallery, Paul

ISBN: 9780205331277 | 0205331270

Edition: 3rd
Format: Paperback
Publisher: Prentice Hall (Sd)
Pub. Date: 10/1/2000

Newer Edition Available

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Summary Table of Contents

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.

An Overview of SPSS for Windows Step by Step

(8)

SPPS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results

(18)

... MORE

Creating and Editing a Data File

(14)

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

(24)

Graphs: Creating and editing graphs and charts

(8)

BASE SYSTEM MODULE

Frequencies: Frequencies, bar charts, histograms, percentiles

(10)

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

(10)

Crosstabulation and Chi-Square (χ2) Analyses

(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

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