While measurement precision is relatively easy to establish for single tests and assessments, it is much more difficult to determine for decision making with multiple tests on different subjects. This latter is the situation in the system of final examinations for secondary education in the Netherlands and is used as an example in this paper. This…

A method is proposed for the detection of item bias with respect to observed or unobserved subgroups. The method uses quasi-loglinear models for the incomplete subgroup x test score x item 1 x ... x item k contingency table. If the subgroup membership is unknown, the models are the incomplete-latent-class models of S. J. Haberman (1979). The…

The use of loglinear latent class models to detect item bias was studied. Purposes of the study were to: (1) develop procedures for use in assessing item bias when the grouping variable with respect to which bias occurs is not observed; (2) develop bias detection procedures that relate to a conceptually different assessed trait--a categorical…

The traditional multiple-choice reading comprehension test of English as a second language, used in the Dutch school-leaving examinations, has been criticized for its apparent lack of construct validity. The Dutch National Institute for Educational Measurement has conducted a number of studies to determine whether there is a different skill…

The Rasch model for test analysis is a latent-trait model, which specifies the relationship between observable test performance and the unobservable traits or abilities assumed under test performance. In most cases, the test constructor has no clue as to whether the latent traits postulated by the model are indeed the abilities he wants to…