Background/Context: Pass/fail standardized exams frequently selectively rescore failing exams and retest failing examinees. This practice distorts the test score distribution and can confuse those who do analysis on these distributions. In 2011, the Wall Street Journal showed large discontinuities in the New York City Regent test score…

Multilinear formula scoring (MFS) is reviewed, with emphasis on estimating option characteristic curves (OCSs). MFS was used to estimate OCSs for the arithmetic reasoning subtest of the Armed Services Vocational Aptitude Battery for 2,978 examinees. A second analysis obtained OCSs for simulated data. The use of MFS is discussed. (SLD)

This paper points out that there are certain generalizations about directions for guessing and methods of scoring that require that data be derived from random groups design. It supports the viewpoint that it is neither sufficient nor appropriate to make such generalizations on the basis of an analysis of scores obtained from the answer sheets of…

A method is proposed for providing an absolute, in contrast to comparative, evaluation of how well two tests are equated by transforming their raw scores into a particular common scale. The method is direct, not requiring creation of a standard for comparison; expresses its results in scaled rather than raw scores, and allows examination of the…

Four methods are outlined for estimating or approximating from a single test administration the standard error of measurement of number-right test score at specified ability levels or cutting scores. The methods are illustrated and compared on one set of real test data. (Author)

Current Scoring practices for multiple-choice tests are rooted in early Associationist Theory and are based on a two-step procedure: (1) right answers counted as ones and wrong answers are zeros, and (2) number of right answers form a total-correct score. The author contends that if either step is invalid, the use of the general linear model (GLM)…

Reviews the literature on subgroup norming in testing and examines several types of score-adjustment methods. The authors discuss social and policy perspectives as well as the scientific and theoretical underpinnings of score adjustment. (GLR)

A procedure is demonstrated for constructing tables showing, for each score on a commercial reading achievement test, the percentage of real-world materials that the testee is likely to comprehend with at least a criterion level of proficiency, the percentages of students in a local or national sample who can competently comprehend a given…