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Spss for Windows Step by Step: A Simple Guide and Reference, 9.0 Update,9780205316557

Spss for Windows Step by Step: A Simple Guide and Reference, 9.0 Update

by George, Darren; Mallery, Paul

ISBN13:

9780205316557

ISBN10:

0205316557

Format:

Paperback

Pub. Date:

10/1/1999

Publisher(s):

Prentice Hall

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Table of Contents

An Overview of SPSS for Windows Step by Step

1

(9)

SPSS 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, selecting cases, sorting cases, merging files

41

(24)

The GRAPHS Procedure: Creating and editing graphs and charts

65

(8)

BASE SYSTEM MODULE

The Frequencies Procedure: Frequencies, bar charts, histograms, percentiles

73

(10)

The Descriptives Procedure: Measures of central tendency, variability, deviation from normality, size, and stability

83

(10)

The Crosstabs Procedure: Crosstabulation and chi-square (χ2) tests of independence

93

(10)

The Means Procedure: Describing subpopulation differences

103

(8)

The Correlate Procedure: 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---2-Way ANOVA: Two-way Analysis of Variance

141

(8)

General Linear Models---3-Way ANOVA: Three-way Analysis of Variance and the influence of covariates

149

(16)

The Regression Procedure: Simple linear regression and curvilinear regression

165

(14)

The Regression Procedure: Multiple regression analysis

179

(15)

The Nonparametric Procedure: Nonparametric tests

194

(15)

ADVANCED STATISTICS MODULE

General Linear Models: Multivariate Analysis of Variance and Covariance

209

(12)

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

221

(12)

The Logistic Regression Procedure: Logistic regression analysis

233

(12)

The Loglinear Procedure: Hierarchical log-linear model selection

245

(14)

The Loglinear Procedure: General (nonhierarchical) log-linear models

259

(10)

PROFESSIONAL STATISTICS MODULE

The Reliability Procedure: Coefficient alpha (α) and split-half reliability

269

(12)

The Factor Procedure: Factor analysis

281

(16)

The Cluster Procedure: Hierarchical cluster analysis

297

(16)

The Discriminant Procedure: Discriminant analysis

313

(16)

Residuals: Analyzing left-over variance

329

(8)

Data Disk

337

(3)

Glossary

340

(10)

References

350

(2)

Index

352

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