3. ANOVA Basics for One-Factor Randomized Group, Randomized Block, and Repeated Measurement Designs

  1. Bradley E. Huitema

Published Online: 14 OCT 2011

DOI: 10.1002/9781118067475.ch3

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) ANOVA Basics for One-Factor Randomized Group, Randomized Block, and Repeated Measurement Designs, 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.ch3

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

SEARCH

Keywords:

  • analysis of variance (ANOVA);
  • one-factor randomized block design;
  • one-factor randomized group;
  • one-factor repeated measurement design

Summary

This chapter describes the three direct extensions of two-condition experimental designs and associated analyses for more than two conditions. They are labeled as one-factor randomized group, randomized block, and repeated measurement designs. Both randomized group and randomized block designs are between-subject designs; they provide treatment effect estimates that generalize to a population of subjects not previously exposed to the other treatments. The randomized group design is simpler to set up than is the randomized block design, but the latter leads to more powerful tests. The repeated measurement design leads to even more powerful tests than does the randomized block design, but the results generalize to a population of subjects that includes those who have been previously exposed to other treatments in the experiment.

Controlled Vocabulary Terms

analysis of variance; levels of measurement; One-factor randomized block design; randomized block design