Encyclopedia of Clinical Neuropsychology

2018 Edition
| Editors: Jeffrey S. Kreutzer, John DeLuca, Bruce Caplan

Generalizability Theory

  • Michael FranzenEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-57111-9_1199


Generalizability theory was developed as an overarching structure with which to evaluate the dependability of psychological measurements. It is meant as an alternative to the correlational analyses which are typically used in classical test theory. It is also meant to provide a unifying theory for evaluating the psychometric soundness of a test. Both reliability and validity are considered to be part of the same conceptual framework. The value of the generalizability score is the result of manipulating different sources of error. The statistical analysis model used is ANOVA.

Current Knowledge

In developing a generalizability model for evaluating a clinical assessment instrument, the researcher would first determine the conditions or facets which are deemed to be relevant to that assessment instrument. For example, if the relevant facets are temporal stability and examiner influence, the experimental design would involve obtaining test scores on more than one occasion and...

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References and Readings

  1. Brennan, R. L. (2001). Generalizability theory. New York: Springer.CrossRefGoogle Scholar
  2. Brennan, R. L. (2002). Performance assessments from the perspective of generalizability theory. Applied Psychological Measurement, 24, 339–353.CrossRefGoogle Scholar
  3. Shavelson, R. J., & Webb, N. M. (1991). Generalizability theory: A primer. Newbury Park: SAGE.Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Allegheny General HospitalPittsburghUSA