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Generalizing the Regression Model: Techniques for Longitudinal and Contextual Analysis

First Edition

by Blair Wheaton and Marisa Young

Student Resources

A Review of Correlation and Regression
- Datasets
Generalizations of Regression 1: Testing and Interpreting Interactions
- Datasets
Generalizations of Regression 2: Nonlinear Regression
- Datasets
Generalizations of Regression 3: Logistic Regression
- Datasets
Generalizations of Regression 4: The Generalized Linear Model
- Datasets
From Equations to Models: The Process of Explanation
- Datasets
An Introduction to Structural Equation Models
- Datasets
Identification and Testing of Models
- Datasets
Variations and Extensions of SEM
- Datasets
An Introduction to Hierarchical Linear Models
- Datasets
The Generalized Hierarchical Linear Model
- Datasets
Growth Curve Models
- Datasets
Introduction to Regression for Panel Data
- Datasets
Variations and Extensions of Panel Regression
- Datasets
Event History Analysis in Discrete Time
- Datasets
The Continuous Time Event History Model
- Datasets

Student Resources

Welcome to the SAGE edge site for Generalizing the Regression Model, First Edition, by Blair Wheaton and Marisa Young.

Generalizing the Regression Model: Techniques for Longitudinal and Contextual Analysis

Authors:

Blair Wheaton and Marisa Young

Pub date:

December 2020

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