For decades, researchers and practitioners have made a great deal of effort to study a variety of methods to increase parameter accuracy, but only recently can researchers start focusing on improving parameter estimations by using a joint model that could incorporate RT and students information as CI.

The purpose of this study is to investigate the effect of missing data in computerized adaptive tests (CAT) on test construct validity.

These studies are conducted based on assumptions under regular conditions for fixed test forms, such as no missing responses and normal distribution of unidimensional ability for a population.

This study, using real data, provides empirical evidence of construct and invariance construct of MAP scales across grades at different academic calendars for 10 different states.

The major purpose of this paper is to investigate the effects of CAT test design and bank distribution on the content coverage and the efficiency of the tests.

This study examined the measurement stability of a set of Rasch measurement scales that have been in place for almost 40 years.

This study investigates the impact of three different IRT scaling and equating methods in building an item bank of tests from 23 years of a national licensure exam . The study focuses on several key psychometric issues including scaledriftandequatingerrors.