Wim van der Linden

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The Law School Admission Council (LSAC) is a nonprofit corporation whose members are more than 200 law schools in the United States and Canada. It was founded in 1947 to coordinate, facilitate, and enhance the law school admission process. The organization also provides programs and services related to legal education. All law schools approved by the(More)
A method based on 0-1 linear programming (LP) is presented to stratify an item pool optimally for use in a-stratified adaptive testing. Because the 0-1 LP model belongs to the subclass of models with a network flow structure, efficient solutions are possible. The method is applied to a previous item pool from the computerized adaptive testing (CAT) version(More)
Existing statistical tests for the fit of the Rasch model have been criticized, because they are only sensitive to specific violations of its assumptions. Contingency table methods using loglinear models have been used to test various psychometric models. In this paper, the assumptions of the Rasch model are discussed and the Rasch model is reformulated as(More)
The Law School Admission Council (LSAC) is a nonprofit corporation whose members are more than 200 law schools in the the Council was founded in 1947 to facilitate the law school admission process. The Council has grown to provide numerous products and services to law schools and to more than 85,000 law school applicants each year. All law schools approved(More)
The Law School Admission Council (LSAC) is a nonprofit corporation whose members are more than 200 law schools in the United States and Canada. It was founded in 1947 to coordinate, facilitate, and enhance the law school admission process. The organization also provides programs and services related to legal education. All law schools approved by the(More)
The purpose of this paper is to derive optimal rules for sequential mastery tests. In a sequential mastery test, the decision is to classify a subject as a master, a nonmaster, or continuing testing and administering another random item. The framework of Bayesian sequential decision theory is used; that is, optimal rules are obtained by minimizing the(More)