Using item response theory (IRT) in computer adaptive test (CAT) is critical to assess learners’ readiness for further learning. This theory has assumptions concerning the mathematical relationship between learner’s abilities and item responses. A numerical value from the theory has potential to decide who the best learner is. The IRT score only provides the learner’s result and lack of the ass...

Item parameter invariance is one of the properties of item response theory (IRT) that enables computerized adaptive testing (CAT) for test administration. The possible influence of item position on test performance is one of the severe threats to the property of item parameter invariance within IRT. This study examines how different impact how the relationship between item position and item dif...

Assessment of socially unacceptable behaviors and attitudes via self-report is likely to yield skewed data that may be vulnerable to measurement non-invariance. Item response theory (IRT) can help address these measurement challenges. This paper illustrates application of IRT to data from a teen dating violence intervention study. Three factors reflecting teens’ attitudes about dating violence ...

Item response theory (IRT) is a modern test theory that has been used in various aspects of educational and psychological measurement. The fully Bayesian approach shows promise for estimating IRT models. Given that it is computationally expensive, the procedure is limited in real applications. It is hence important to seek ways to reduce the execution time, and therefore, a suitable solution is...

This paper provides an introduction to two commonly used item response theory (IRT) models (the two-parameter logistic model and the graded response model). Throughout the paper, the Need for Cognition Scale (NCS) is used to help illustrate different features of the IRT model. After introducing the IRT models, I explore the assumptions these models make as well as ways to assess the extent to w...

BACKGROUND Item response theory (IRT) has been increasingly applied to patient-reported outcome (PRO) measures. The purpose of this study is to apply IRT to examine item properties (discrimination and severity of depressive symptoms), measurement precision and score comparability across five depression measures, which is the first study of its kind in the Chinese context. METHODS A clinical s...

Statistical properties of the ability level estimate ( ) in item response theory (IRT) were investigated through a Monte Carlo investigation, based on data generated with a four cases multifactor design. Dichotomous items and the logistic two-parameter IRT model in a one-dimensional setting have been chosen. The estimation procedure was the marginalized Bayesian item parameters estimation and E...

Person-fit statistics have been proposed to investigate the fit of an item score pattern to an item response theory (IRT) model. The author investigated how these statistics can be used to detect different types of misfit. Intelligence test data were analyzed using person-fit statistics in the context of the G. Rasch (1960) model and R. J. Mokken's (1971, 1997) IRT models. The effect of the cho...

INTRODUCTION The Health Assessment Questionnaire Disability Index (HAQ) and the SF-36 PF-10, among other instruments, yield sensitive and valid Disability (Physical Function) endpoints. Modern techniques, such as Item Response Theory (IRT), now enable development of more precise instruments using improved items. The NIH Patient Reported Outcomes Measurement Information System (PROMIS) is charge...

DOCUMENT RESUME Meijer, Rob A Review of Patterns on Twente Univ. Science and 1999-00-00 55p. Faculty of Educational Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands. Reports Descriptive (141) MF01/PC03 Phis Postage. *Evaluation Methods; *Goodness of Fit; *Item Response Theory; Personality Measures; *Scores; Test Construction; *Test Items *Person Fit ...