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Unbalanced Random Effects Designs

  • Robert L. Brennan
Chapter
Part of the Statistics for Social Sciences and Public Policy book series (SSBS)

Abstract

To this point, our discussion of generalizability theory has been restricted to balanced designs. Doing so substantially decreases a number of statistical complexities, and even some conceptual ones. In practice, however, generalizability analyses with real data are often characterized by unbalanced designs. Unbalanced random effects designs are the subject of this chapter. Unbalanced mixed effects designs are treated using multivariate generalizability theory, which is discussed in Chapters 9 to 12.1 The discussion here of unbalanced random effects designs is relevant for both univariate and multivariate generalizability theory.

Keywords

Variance Component Estimate Variance Component Balance Design Study Sample Size Generalizability Coefficient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Robert L. Brennan
    • 1
  1. 1.Iowa Testing ProgramsUniversity of IowaIowa CityUSA

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