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Li, Feifei – ETS Research Report Series, 2017
An information-correction method for testlet-based tests is introduced. This method takes advantage of both generalizability theory (GT) and item response theory (IRT). The measurement error for the examinee proficiency parameter is often underestimated when a unidimensional conditional-independence IRT model is specified for a testlet dataset. By…
Descriptors: Item Response Theory, Generalizability Theory, Tests, Error of Measurement
Espelage, Dorothy L.; Quittner, Alexandra L.; Kamps, Jodi – 1998
Generalizability theory (g-theory) was used, as an alternative to classical test theory, to evaluate measurement error in a behaviorally anchored role-play measure, highlighting the usefulness of this theory in instrument development. G-theory partitions an observed score into the universe score and error scores associated with separate sources of…
Descriptors: Behavior Patterns, Eating Disorders, Error of Measurement, Females
Gonzalez-Tamayo, Eulogio – 1987
The concepts of universe of admissible observation and universe of generalization from the generalizability theory were applied to calculate the intraclass correlation coefficient of a licensure test. The internal consistency coefficient of a dichotomously scored test is identical to the intraclass correlation coefficient of a two-facet design.…
Descriptors: Adults, Analysis of Variance, Content Validity, Criterion Referenced Tests