Latent trait theory supposes that, in testing situations, examinee performance on a test can be predicted (or explained) by defining examinee characteristics, referred to as traits, estimating scores for examinees on these traits and using the scores to predict or explain test performance (Lord and Novick, 1968). In view of the breakthroughs in…

Through maximum likelihood logistic regression analysis, assesses characteristics distinguishing teachers who return to the classroom after career interruptions from those who do not. Among 3,060 teachers, those most likely to return have fewer opportunities for better-paying employment, with more experience and master's degrees, and interrupted…

E-learning is expected to support organizations and individuals so they can become more adaptable and competitive. However, in order for organizations to realize the full potential of this technology, they should create and sustain the right context to foster learning in articulation with business objectives. This requires active participation and…

This primer is an introduction to item response theory (also called item characteristic curve theory, or latent trait theory) as it is used most commonly--for scoring multiple choice achievement or aptitude tests. Written for the testing practitioner with minimum training in statistics and psychometrics, it presents and illustrates the basic…

Research on the major computerized adaptive testing (CAT) strategies is reviewed, and some findings are reported that examine effects of examinee demographic and psychological characteristics on CAT strategies. In fixed branching strategies, all examinees respond to a common routing test, the score of which is used to assign examinees to a…