Journal Article10.1111/J.1467-8535.2005.00525.X
Evaluation parameters for computer‐adaptive testing
TL;DR: Key parameters include utility, validity, reliability, satisfaction, usability, reporting, administration, security, and those associated with adaptivity, item pool, and psychometric theory, form a proposed evaluation model, Evaluation Model of Computer-Adaptive Testing.
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Abstract: With the proliferation of computers in test delivery today, adaptive testing has become quite popular, especially when examinees must be classified into two categories (pass/fail, master/nonmaster). Several well-established organisations have provided standards and guidelines for the design and evaluation of educational and psychological testing. The purpose of this paper was not to repeat the guidelines and standards that exist in the literature but to identify and discuss the main evaluation parameters for a computer-adaptive test (CAT). A number of parameters should be taken into account when evaluating CAT. Key parameters include utility, validity, reliability, satisfaction, usability, reporting, administration, security, and thoseassociated with adaptivity, item pool, and psychometric theory. These parameters are presented and discussed below and form a proposed evaluation model, Evaluation Model of Computer-Adaptive Testing.
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Citations
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Evaluation of Computer Adaptive Testing Systems
TL;DR: The results show that the majority of the CAT systems give priority to security, reliability, and maintainability, however, they do not offer to the examinee any advanced support and functionalities.
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Frederic M. Lord
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TL;DR: The application of item response theory to practical testing problems is discussed in this article, where the authors present an example of the application of the theory to real-world testing problems in a practical setting.
5.6K
Standards for educational and psychological testing
Alija Kulenović,Vesna Buško +1 more
- 01 Jan 2006
TL;DR: For example, Standardi pružaju okvir koje ukazuju na ucinkovitost kvalitetnih instrumenata u onim situacijama u kojima je njihovo koristenje potkrijepljeno validacijskim podacima.
4.5K
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Fundamentals of Item Response Theory
Ronald K. Hambleton,Hariharan Swaminathan,H. Jane Rogers +2 more
- 23 Jul 1991
TL;DR: This research attacked the mode-based approach to item response theory with a model- data fit approach, and found that the model-Data Fit approach proved to be more accurate than the other approaches.
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Fundamentals of Item Response Theory.
Abstract: Background Concepts, Models, and Features Ability and Item Parameter Estimation Assessment of Model-Data Fit The Ability Scale Item and Test Information and Efficiency Functions Test Construction Identification of Potentially Biased Test Items Test Score Equating Computerized Adaptive Testing Future Directions of Item Response Theory
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Methods and techniques of adaptive hypermedia
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