Using the basic principles of generalizability theory, a psychometric model for domain-referenced interpretations is proposed, discussed, and illustrated. This approach, assuming an analysis of variance or linear model, is applicable to numerous data collection designs, including the traditional persons-crossed-with-items design, which is treated…

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.…

It is argued in this paper that generalizability theory provides a uniquely useful framework for defining and quantifying the dependability of data for decision making. It does so by requiring careful specification of the conditions of measurement and the anticipated sources of variation in the results of the measurement procedure. A distinction…

This paper examines the development and evaluation of criterion-referenced measures, and elaborates on the distinction between them and norm-referenced measures. The concept of sensitivity is introduced as an appropriate method for evaluating such measures, and a sensitivity index is proposed. The traditional model for the response of a subject to…

During the 1980s, considerable attention was given to the influence of "effective" elementary schools on students' school achievement. Effective schools were typically defined as those with certain characteristics that had been found to be positively correlated with student achievement scores. This paper presents findings of a longitudinal study…

The utility of the biomedical model of adjusted statistics is demonstrated. The model is recommended for use by educational researchers to randomize subjects for a more accurate estimate of school programs' success or failure when compared across classrooms or other units. (Author/MH)