SPSS 13.0 Regression Models

1. Choosing a Procedure for Binary Logistic Regression Models

 

2. Logistic Regression

Logistic Regression Set Rule

Logistic Regression Variable Selection Methods

Logistic Regression Define Categorical Variables

Logistic Regression Save New Variables

Logistic Regression Options

LOGISTIC REGRESSION Command Additional Features

 

3. Multinomial Logistic Regression

Multinomial Logistic Regression Models

Multinomial Logistic Regression Reference Category

Multinomial Logistic Regression Statistics

Multinomial Logistic Regression Criteria

Multinomial Logistic Regression Options

Multinomial Logistic Regression Save

NOMREG Command Additional Features

 

4. Probit Analysis

Probit Analysis Define Range

Probit Analysis Options

PROBIT Command Additional Features

 

5. Nonlinear Regression

Conditional Logic (Nonlinear Regression)

Nonlinear Regression Parameters

Nonlinear Regression Common Models

Nonlinear Regression Loss Function

Nonlinear Regression Parameter Constraints

Nonlinear Regression Save New Variables

Nonlinear Regression Options

Interpreting Nonlinear Regression Results

NLR Command Additional Features

 

6. Weight Estimation

Weight Estimation Options

WLS Command Additional Features

 

7. Two-Stage Least-Squares Regression

Two-Stage Least-Squares Regression Options

2SLS Command Additional Features

 

Appendix

A. Categorical Variable Coding Schemes

Deviation

Simple

Helmert

Difference

Polynomial

Repeated

Special

Indicator

 

Index