Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Inferential Statistics and Test Selection
Introduction
Inferential Statistics
Test Selection

Introduction to SPSS
Introduction
Setting Up a Data File
SPSS Analysis: Windows Method versus Syntax Method
Missing Data

Multiple Response
Aim
Methods of MULT RESPONSE Procedures
Example of the Multiple-Dichotomy Method
Example of the Multiple-Response Method
Cross-Tabulations

t Test for Independent Groups
Aim
Checklist of Requirements
Assumptions
Example

Paired-Samples t Test
Aim
Checklist of Requirements
Assumption
Example

One-Way Analysis of Variance, with Post Hoc Comparisons
Aim
Checklist of Requirements
Assumptions
Example

Factorial Analysis of Variance
Aim
Checklist of Requirements
Assumptions
Example 1: Two-Way Factorial (2x2 Factorial)
Example 2: Three-Way Factorial (2x2x2 Factorial)

General Linear Model (GLM) Multivariate Analysis
Aim
Checklist of Requirements
Assumptions
Example 1: GLM Multivariate Analysis: One-Sample Test
Example 2: GLM Multivariate Analysis: Two-Sample Test
Example 3: GLM: 2x2x4 Factorial Design

General Linear Model: Repeated Measures Analysis
Aim
Assumption
Example 1: GLM: One-Way Repeated Measures
Example 2: GLM: Two-Way Repeated Measures (Doubly Multivariate Repeated Measures)
Example 3: GLM: Two-Factor Mixed Design (One Between-Groups Variable and One Within-Subjects Variable)
Example 4: GLM: Three-Factor Mixed Design (Two Between-Groups Variables and One Within-Subjects Variable)

Correlation
Aim
Requirements
Assumptions
Example 1: Pearson Product Moment Correlation Coefficient
Testing Statistical Significance between Two Correlation Coefficients Obtained from Two Samples
Example 2: Spearman Rank Order Correlation Coefficient

Linear Regression
Aim
Requirements
Assumptions
Example: Linear Regression

Factor Analysis
Aim
Checklist of Requirements
Assumptions
Factor Analysis: Example 1
Factor Analysis: Example 2

Reliability
Aim
Example: Reliability

Multiple Regression
Aim
Multiple Regression Techniques
Checklist of Requirements
Assumptions
Multicollinearity
Example 1: Prediction Equation and Identification of Independent Relationships (Forward Entry of Predictor Variables)
Example 2: Hierarchical Regression
Example 3: Path Analysis
Example 4: Path Analysis—Test of Significance of the Mediation Hypothesis

Multiple Discriminant Analysis
Aim
Checklist of Requirements
Assumptions
Example 1: Two-Group Discriminant Analysis
Example 2: Three-Group Discriminant Analysis

Logistic Regression
Aim
Checklist of Requirements
Assumptions
Example: Two-Group Logistic Regression

Canonical Correlation Analysis
Aim
Checklist of Requirements
Assumptions
Key Terms in Canonical Correlation Analysis
An Example of Canonical Correlation Analysis

Structural Equation Modeling
What Is Structural Equation Modeling (SEM)?
The Role of Theory in SEM
The Structural Equation Model
Goodness-of-Fit Criteria
Model Assessment
Improving Model Fit
Problems with Estimation
Checklist of Requirements
Assumptions
Examples of Structural Equation Modeling
Example 1: Linear Regression with Observed Variables
Example 2: Regression with Unobserved (Latent) Variables
Example 3: Multi-Model Path Analysis with Latent Variables
Example 4: Multi-Group Analysis
Example 5: Second-Order Confirmatory Factor (CFA) Analysis

Nonparametric Tests
Aim
Chi-Square (x²) Test for Single Variable Experiments
Chi-Square (x²) Test of Independence between Two Variables
Mann-Whitney U Test for Two Independent Samples
Kruskal-Wallis Test for Several Independent Samples
Wilcoxon Signed Rank Test for Two Related Samples
Friedman Test for Several Related Samples

Appendix: Summary of SPSS Syntax Files

Bibliography

Index