Contents
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Index
Summary Statistics Using Frequencies
Summary Statistics Using Descriptives
Exploratory Data Analysis
Analysis of Cross-classifications Using Crosstabs
The Summarize Procedure
The Means Procedure
The OLAP Cubes Procedure
T Tests
One-Sample T Test
Paired-Samples T Test
Independent-Samples T Test
One-Way Analysis of Variance
GLM Univariate
GLM Univariate
GLM Univariate Model
Using GLM Univariate to Perform a Two-Factor Analysis of Variance
Running the Analysis
Descriptive Statistics
Testing Homogeneity of the Variances
Post Hoc Tests
Estimated Marginal Means
Tests of Between-Subjects Effects
Summary
Using GLM Univariate to Perform an Analysis of Covariance
Checking Homogeneity of the Covariate Coefficients
Tests of Between-Subjects Effects
Running the Analysis
Descriptive Statistics
Testing Homogeneity of Variances
Tests of Between-Subjects Effects
Parameter Estimates
Summary
Using GLM Univariate to Account for Random Effects
Running the Analysis
Tests of Between-Subjects Effects
Adding the Random Effect
Test of Between-Subjects Effects
Summary
Related Procedures
Recommended Readings
Bivariate Correlations
Linear Regression
Discriminant Analysis
Factor Analysis
Hierarchical Cluster Analysis
K-Means Cluster Analysis
Nonparametric Tests
The Chi-Square Test
The Binomial Test Procedure
The Runs Test Procedure
One-Sample Kolmogorov-Smirnov Procedure
Nonparametric Tests for Two Independent Samples
Nonparametric Tests for Multiple Independent Samples
Nonparametric Tests for Two Related Samples
Nonparametric Tests for Multiple Related Samples
ROC Curve
Control Charts
Data Files Used
Table of Contents
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