This reflection paper challenges current test scoring practices on the grounds that most wrong-answer selections are thoughtful not random, presenting research supporting this proposition. An alternative test scoring system is presented, described and its outcomes discussed. This new scoring system increases the number of variables considered,…

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)

Multiple-choice tests such as the Force Concept Inventory (FCI) provide useful instruments to probe the distribution of student difficulties on a large scale. However, traditional analysis often relies solely on scores (number of students giving the correct answer). This ignores what can be significant and important information: the distribution…

A multi-faceted model for the selection of answers for multiple-choice tests was developed from the findings of a series of exploratory studies. This model implies that answer selection should be curvilinear. A series of models were tested for fit using the chi square procedure. Data were collected from 359 elementary school students ages 9-12.…

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)…