Mathematical programming techniques for optimal test assembly are discussed. Most methods optimize a single objective: for instance, the amount of information in a test, subject to a number of constraints. However, some test assembly problems have multiple objectives. A recent example in the literature is the problem of assembling test that measure multiple traits, where the amount of information in the test about each different trait has to be maximized. The present paper proposes methods appropriate for solving multiple objective test assembly problems. An overview of multiple objective optimization methods is given. The impact of the method on the optimality of the solution is shown and the appropriateness of the methods is discussed. The methods are illustrated using an empirical example of a test assembly problem for a two-dimensional mathematics item pool.
|Number of pages||13|
|Journal||Journal of educational measurement|
|Publication status||Published - 1999|