Multifacet Universes of Generalization and D Study Designs

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


In this chapter it is assumed that all facets in the universe of admissible observations can be considered infinite in size and, consequently, the G study variance components have been estimated for a random model. Given these assumptions, this chapter provides procedures, equations, and rules for estimating universe score variance, error variances, generalizability coefficients, and other quantities for random and mixed model D studies with any number of facets. The random model equations and rules are quite general. The mixed model procedures are somewhat simplified; more general procedures are treated in Chapter 5.


Variance Component Error Variance Venn Diagram Random Model Generalizability Coefficient 
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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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