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Ross, Linette P. – ProQuest LLC, 2022
One of the most serious forms of cheating occurs when examinees have item preknowledge and prior access to secure test material before taking an exam for the purpose of obtaining an inflated test score. Examinees that cheat and have prior knowledge of test content before testing may have an unfair advantage over examinees that do not cheat. Item…
Descriptors: Testing, Deception, Cheating, Identification
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Frederickx, Sofie; Tuerlinckx, Francis; De Boeck, Paul; Magis, David – Journal of Educational Measurement, 2010
In this paper we present a new methodology for detecting differential item functioning (DIF). We introduce a DIF model, called the random item mixture (RIM), that is based on a Rasch model with random item difficulties (besides the common random person abilities). In addition, a mixture model is assumed for the item difficulties such that the…
Descriptors: Test Bias, Models, Test Items, Difficulty Level
Kim, Hyun Seok John – ProQuest LLC, 2011
Cognitive diagnostic assessment (CDA) is a new theoretical framework for psychological and educational testing that is designed to provide detailed information about examinees' strengths and weaknesses in specific knowledge structures and processing skills. During the last three decades, more than a dozen psychometric models have been developed…
Descriptors: Cognitive Measurement, Diagnostic Tests, Bayesian Statistics, Statistical Inference
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Revuelta, Javier – Psychometrika, 2004
Two psychometric models are presented for evaluating the difficulty of the distractors in multiple-choice items. They are based on the criterion of rising distractor selection ratios, which facilitates interpretation of the subject and item parameters. Statistical inferential tools are developed in a Bayesian framework: modal a posteriori…
Descriptors: Multiple Choice Tests, Psychometrics, Models, Difficulty Level
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Sinharay, Sandip – ETS Research Report Series, 2004
Assessing fit of psychometric models has always been an issue of enormous interest, but there exists no unanimously agreed upon item fit diagnostic for the models. Bayesian networks, frequently used in educational assessments (see, for example, Mislevy, Almond, Yan, & Steinberg, 2001) primarily for learning about students' knowledge and…
Descriptors: Bayesian Statistics, Networks, Models, Goodness of Fit