A set of linear conditions on the item response functions is derived that guarantees identical observed-score distributions on two test forms. The conditions can be added as constraints to a linear programming model for test assembly that assembles a new test form to have an observed-score distribution optimally equated to the distribution of the old form. For a well-designed item pool, use of the model results into observed-score pre-equating and prevents the necessity of post hoc equating by a conventional observed-score equating method. An empirical example illustrates the use of the model for an item pool from the Law School Admission Test (LSAT).
|Place of Publication||Enschede, the Netherlands|
|Publisher||University of Twente, Faculty Educational Science and Technology|
|Publication status||Published - 1997|
|Publisher||University of Twente, Faculty of Educational Science and Technology|
- Test Format
- Linear Programming
- Equated Scores
- Item Response Theory
- Test Construction
- Higher Education
- Foreign Countries
van der Linden, W. J., & Luecht, R. M. (1997). Observed-score equating as a test assembly problem. (OMD-research report; No. 97-05). Enschede, the Netherlands: University of Twente, Faculty Educational Science and Technology.