Kane's paper "Validating the Interpretations and Uses of Test Scores" is the most complete and clearest discussion yet available of the argument-based approach to validation. At its most basic level, validation as formulated by Kane is fundamentally a simply-stated two-step enterprise: (1) specify the claims inherent in a particular interpretation…

In almost all high-stakes testing programs, test equating is necessary to ensure that test scores across multiple test administrations are equivalent and can be used interchangeably. Test equating becomes even more challenging in mixed-format tests, such as Advanced Placement Program® (AP®) Exams, that contain both multiple-choice and constructed…

Using the assumption of randomly parallel tests and concepts from generalizability theory, three signal/noise ratios for domain-referenced tests are developed, discussed, and compared. The three ratios have the same noise but different signals depending upon the kind of decision to be made as a result of measurement. (Author/JKS)

When classes are the units of analyses, estimates of the reliability of class means are needed. Using classical test theory it is difficult to treat this problem adequately. Generalizability theory, however, provides a natural framework for dealing with the problem. Each of four possible formulas for the generalizability of class means is derived…

The application of generalizability theory to the reliability and error variance estimation for performance assessment scores is discussed. Decision makers concerned with performance assessment need to realize the restrictions that limit generalizability such as limitations that lead to reductions in the number of tasks possible, rater quality,…

Issues associated with the ACT (American College Testing) Assessment Program illustrate the need to assess college entrance examinations in terms of the variety of common predictive uses such as estimation of first year grade point average (GPA), or chances of obtaining a C average after certain semesters or in specific courses. Test developers…

A large number of seemingly diverse coefficients have been proposed as indices of dependability, or reliability, for domain-referenced and/or mastery tests. In this paper, it is shown that most of these indices are special cases of two generalized indices of agreement: one that is corrected for chance, and one that is not. The special cases of…

Rules, procedures, and algorithms intended to aid researchers and practitioners in the application of generalizability theory to a broad range of measurement problems are presented. Two examples of measurement research are G studies, which examine the dependability of some general measurement procedure; and D studies, which provide the data for…

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…

A replicable process for improving instruction through the consistent use of student data collected before, during, and after instruction is proposed. A rational analysis of different types of error rates (theoretical, base, posttest, instructional) and discrimination indices (base, posttest) leads to a set of rules for identifying test items and…