15. ANCOVA for Dichotomous Dependent Variables

  1. Bradley E. Huitema

Published Online: 14 OCT 2011

DOI: 10.1002/9781118067475.ch15

The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition

The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition

How to Cite

Huitema, B. E. (2011) ANCOVA for Dichotomous Dependent Variables, in The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118067475.ch15

Author Information

  1. Department of Psychology, Western Michigan University, Kalamazoo, Michigan, USA

Publication History

  1. Published Online: 14 OCT 2011
  2. Published Print: 14 OCT 2011

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780471748960

Online ISBN: 9781118067475

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Keywords:

  • ANCOVA;
  • dichotomous ANCOVA;
  • within-group logistic regression

Summary

This chapter contains sections titled:

  • Introduction

  • Logistic Regression

  • Logistic Model

  • Dichotomous ANCOVA Through Logistic Regression

  • Homogeneity of Within-Group Logistic Regression

  • Multiple Covariates

  • Multiple Comparison Tests

  • Continuous Versus Forced Dichotomy Results

  • Summary