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Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
Eckerly, Carol; Smith, Russell; Sowles, John – Practical Assessment, Research & Evaluation, 2018
The Discrete Option Multiple Choice (DOMC) item format was introduced by Foster and Miller (2009) with the intent of improving the security of test content. However, by changing the amount and order of the content presented, the test taking experience varies by test taker, thereby introducing potential fairness issues. In this paper we…
Descriptors: Culture Fair Tests, Multiple Choice Tests, Testing, Test Items
Wang, Shudong; Jiao, Hong; Young, Michael J.; Brooks, Thomas; Olson, John – Educational and Psychological Measurement, 2008
In recent years, computer-based testing (CBT) has grown in popularity, is increasingly being implemented across the United States, and will likely become the primary mode for delivering tests in the future. Although CBT offers many advantages over traditional paper-and-pencil testing, assessment experts, researchers, practitioners, and users have…
Descriptors: Elementary Secondary Education, Reading Achievement, Computer Assisted Testing, Comparative Analysis
Nandakumar, Ratna; Roussos, Louis – 1997
This paper investigates the performance of CATSIB (a modified version of the SIBTEST computer program) to assess differential item functioning (DIF) in the context of computerized adaptive testing (CAT). One of the distinguishing features of CATSIB is its theoretically built-in regression correction to control for the Type I error rates when the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Bias, Power (Statistics)
Sykes, Robert C.; Ito, Kyoko – 1995
Whether the presence of bidimensionality has any effect on the adaptive recalibration of test items was studied through live-data simulation of computer adaptive testing (CAT) forms. The source data were examinee responses to the 298 scored multiple choice items of a licensure examination in a health care profession. Three 75-item part-forms,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Estimation (Mathematics)

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