Bayes Theorem leads to three indexes of item effectiveness: 1) probability that an examinee knows the content given that the correct response was selected; 2) probability that an examinee does not know that content given that an incorrect response was selected; and 3) probability of making a correct decision about the examinee's knowledge given…

The assumptions of the Criterion-Referenced Test (CRT) model proposed by Kriewall are compared to those of Emrick and Adam's Mastery-Learning (ML) model. Testing, in the context of instructional management, serves three general purposes: performance evaluation (achievement of objectives), placement (classification of students for instruction), and…

Instructional sensitivity indices are compared from four perspectives: (1) criterion-referenced testing; (2) classical test theory; (3) item response theory; and (4) Bayesian theory. Instructional sensitivity is defined as the tendency of a test item to vary in difficulty as a function of instruction. The instructional sensitivity of the items in…

The problems associated with misclassifying students when pass-fail decisions are based on test scores are discussed. One protection against misclassification is to set a confidence interval around the cutting score. Those whose scores fall above the interval are passed; those whose scores fall below the interval are failed; and those whose scores…

This chapter should not only acquaint the reader with the present state of the art on Criterion-Referenced (CR) measurement but also suggest possible directions for further inquiry. The goal of the first part of this chapter is to deal with the definitional dilemma of CR measurement by proceeding from the more traditional view of CR measurement to…