With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…

A poorly designed data processing system in a school district testing office may cause a delay in the creation of test results, produce inaccurate results, or utilize more resources than are necessary. Therefore, the authors present a model of a data processing system as a basis for comparing systems in terms of the basic functions they must…

This is one of nine volumes describing the results of extensive research carried out by the International Association for the Evaluation of Educational Achievement (IEA) over a seven-year period. The overall aim of this extensive empirical study is to relate student competence to instructional, economic, and social factors which account for…