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Chambon, Valerian; Haggard, Patrick – Cognition, 2012
Sense of agency refers to the feeling of controlling one's own actions, and, through these actions, events in the outside world. Sense of agency is widely held to involve a retrospective inference based on matching actual effects of an action with its expected effects. We hypothesise a second, prospective aspect of sense of agency, reflecting the…
Descriptors: Academic Achievement, Priming, Adaptive Testing, Inferences
Seo, Dong Gi; Weiss, David J. – Educational and Psychological Measurement, 2015
Most computerized adaptive tests (CATs) have been studied using the framework of unidimensional item response theory. However, many psychological variables are multidimensional and might benefit from using a multidimensional approach to CATs. This study investigated the accuracy, fidelity, and efficiency of a fully multidimensional CAT algorithm…
Descriptors: Computer Assisted Testing, Adaptive Testing, Accuracy, Fidelity
Hsu, Chia-Ling; Wang, Wen-Chung; Chen, Shu-Ying – Applied Psychological Measurement, 2013
Interest in developing computerized adaptive testing (CAT) under cognitive diagnosis models (CDMs) has increased recently. CAT algorithms that use a fixed-length termination rule frequently lead to different degrees of measurement precision for different examinees. Fixed precision, in which the examinees receive the same degree of measurement…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cognitive Tests, Diagnostic Tests
Choi, Seung W.; Podrabsky, Tracy; McKinney, Natalie – Applied Psychological Measurement, 2012
Computerized adaptive testing (CAT) enables efficient and flexible measurement of latent constructs. The majority of educational and cognitive measurement constructs are based on dichotomous item response theory (IRT) models. An integral part of developing various components of a CAT system is conducting simulations using both known and empirical…
Descriptors: Computer Assisted Testing, Adaptive Testing, Computer Software, Item Response Theory
Arendasy, Martin E.; Sommer, Markus – Learning and Individual Differences, 2012
The use of new test administration technologies such as computerized adaptive testing in high-stakes educational and occupational assessments demands large item pools. Classic item construction processes and previous approaches to automatic item generation faced the problems of a considerable loss of items after the item calibration phase. In this…
Descriptors: Item Banks, Test Items, Adaptive Testing, Psychometrics
Wang, Wen-Chung; Liu, Chen-Wei; Wu, Shiu-Lien – Applied Psychological Measurement, 2013
The random-threshold generalized unfolding model (RTGUM) was developed by treating the thresholds in the generalized unfolding model as random effects rather than fixed effects to account for the subjective nature of the selection of categories in Likert items. The parameters of the new model can be estimated with the JAGS (Just Another Gibbs…
Descriptors: Computer Assisted Testing, Adaptive Testing, Models, Bayesian Statistics
Jiao, Hong; Macready, George; Liu, Junhui; Cho, Youngmi – Applied Psychological Measurement, 2012
This study explored a computerized adaptive test delivery algorithm for latent class identification based on the mixture Rasch model. Four item selection methods based on the Kullback-Leibler (KL) information were proposed and compared with the reversed and the adaptive KL information under simulated testing conditions. When item separation was…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Identification
Thompson, Nathan A.; Weiss, David J. – Practical Assessment, Research & Evaluation, 2011
A substantial amount of research has been conducted over the past 40 years on technical aspects of computerized adaptive testing (CAT), such as item selection algorithms, item exposure controls, and termination criteria. However, there is little literature providing practical guidance on the development of a CAT. This paper seeks to collate some…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Construction, Models
Yen, Yung-Chin; Ho, Rong-Guey; Liao, Wen-Wei; Chen, Li-Ju – Educational Technology & Society, 2012
In a test, the testing score would be closer to examinee's actual ability when careless mistakes were corrected. In CAT, however, changing the answer of one item in CAT might cause the following items no longer appropriate for estimating the examinee's ability. These inappropriate items in a reviewable CAT might in turn introduce bias in ability…
Descriptors: Foreign Countries, Adaptive Testing, Computer Assisted Testing, Item Response Theory
Becker, Kirk A.; Bergstrom, Betty A. – Practical Assessment, Research & Evaluation, 2013
The need for increased exam security, improved test formats, more flexible scheduling, better measurement, and more efficient administrative processes has caused testing agencies to consider converting the administration of their exams from paper-and-pencil to computer-based testing (CBT). Many decisions must be made in order to provide an optimal…
Descriptors: Testing, Models, Testing Programs, Program Administration
Landauer, Thomas K.; Kireyev, Kirill; Panaccione, Charles – Scientific Studies of Reading, 2011
A new metric, Word Maturity, estimates the development by individual students of knowledge of every word in a large corpus. The metric is constructed by Latent Semantic Analysis modeling of word knowledge as a function of the reading that a simulated learner has done and is calibrated by its developing closeness in information content to that of a…
Descriptors: Reading Research, Vocabulary Development, Semantics, Statistical Analysis
Eggen, Theo J. H. M. – Educational Research and Evaluation, 2011
If classification in a limited number of categories is the purpose of testing, computerized adaptive tests (CATs) with algorithms based on sequential statistical testing perform better than estimation-based CATs (e.g., Eggen & Straetmans, 2000). In these computerized classification tests (CCTs), the Sequential Probability Ratio Test (SPRT) (Wald,…
Descriptors: Test Length, Adaptive Testing, Classification, Item Analysis
Haug, Tobias – Language Testing, 2012
Despite the current need for reliable and valid test instruments in different countries in order to monitor the sign language acquisition of deaf children, very few tests are commercially available that offer strong evidence for their psychometric properties. This mirrors the current state of affairs for many sign languages, where very little…
Descriptors: Evidence, Sign Language, Language Tests, Construct Validity
Tendeiro, Jorge N.; Meijer, Rob R. – Applied Psychological Measurement, 2012
This article extends the work by Armstrong and Shi on CUmulative SUM (CUSUM) person-fit methodology. The authors present new theoretical considerations concerning the use of CUSUM person-fit statistics based on likelihood ratios for the purpose of detecting cheating and random guessing by individual test takers. According to the Neyman-Pearson…
Descriptors: Cheating, Individual Testing, Adaptive Testing, Statistics
Huebner, Alan – Practical Assessment, Research & Evaluation, 2010
Cognitive diagnostic modeling has become an exciting new field of psychometric research. These models aim to diagnose examinees' mastery status of a group of discretely defined skills, or attributes, thereby providing them with detailed information regarding their specific strengths and weaknesses. Combining cognitive diagnosis with computer…
Descriptors: Cognitive Tests, Diagnostic Tests, Computer Assisted Testing, Adaptive Testing

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