Two indices for assessing the efficiency of decisions in mastery testing are proposed. The indices are generalizations of the raw agreement index and the kappa index. Empirical examples of these indices are given. (Author/JKS)

Techniques for classifying individuals into mastery or non-mastery status based on criterion-referenced test performance are investigated. Extensions of mastery classification techniques developed by Macready and Dayton are presented. The techniques are based on latent class and quasi-independence models. (Author/JKS)

Multiple cutoff scores are recommended as an alternative to multiple regression for predicting future performance of individuals from educational tests. Tables of the type proposed by Taylor and Russell are provided for evaluating the effects of using this procedure. (Author/JKS)

A procedure is described for determining the minimal length of a mastery test given certain constraints. The procedure assumes that the testor is indifferent to misclassifying some testees who score within a specified range about the passing score. An example and table are provided. (JKS)

Descriptions are presented of two related probabilistic models that can be used for making classification decisions with respect to mastery of specific concepts or skills. Determination of cutoff scores, minimal number of items necessary, and the assessment of the quality of tests provided by the model are discussed. (Author/JKS)

In mastery testing, the raw agreement index and the kappa index may be estimated via one test administration when the test scores follow beta-binomial distributions. This paper reports formulae, tables, and a computer program which facilitate the computation of the standard errors of the estimates. (Author/CTM)

Approaches to the determination of cut-scores have used threshold, normal ogive, linear and discrete utility functions. These approaches are examined by investigating conditions on the posterior, likelihood and utility functions required for setting cut-scores in a Bayesian approach. (Author/JKS)

Taylor and Russell produced a set of tables which gives the proportion of successful cases when a given cutoff score or a predictor variable and the correlation between the predictor variable and the criterion are known. This paper extends this procedure to the case where parameters are not known. (Author/JKS)

Methods are described for obtaining upper and lower bounds to both false-positive and false-negative decisions with a mastery test. These methods make no assumptions about the form of the true score distribution. (CTM)

The statistical consequences of giving a student more than one achievement test to diagnose learning disabilities (LD) are discussed. Ranking and selection tables are used to find (1) the proportion of LD students as a function of cut-off point and (2) the cut-off point as a function of the expected proportion of LD students. (Author/BW)

Two approaches, the minimax approach and the Rasch procedure, are described for the simultaneous determination of passing scores for subtests when the passing score for the total test is known. (Author/LMO)