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Isbell, Daniel R.; Kremmel, Benjamin – Language Testing, 2020
Administration of high-stakes language proficiency tests has been disrupted in many parts of the world as a result of the 2019 novel coronavirus pandemic. Institutions that rely on test scores have been forced to adapt, and in many cases this means using scores from a different test, or a new online version of an existing test, that can be taken…
Descriptors: Language Tests, High Stakes Tests, Language Proficiency, Second Language Learning
Isbell, Dan; Winke, Paula – Language Testing, 2019
The American Council on the Teaching of Foreign Languages (ACTFL) oral proficiency interview -- computer (OPIc) testing system represents an ambitious effort in language assessment: Assessing oral proficiency in over a dozen languages, on the same scale, from virtually anywhere at any time. Especially for users in contexts where multiple foreign…
Descriptors: Oral Language, Language Tests, Language Proficiency, Second Language Learning
James, Syretta R.; Liu, Shihching Jessica; Maina, Nyambura; Wade, Julie; Wang, Helen; Wilson, Heather; Wolanin, Natalie – Montgomery County Public Schools, 2021
The impact of the COVID-19 pandemic continues to overwhelm the functioning and outcomes of educational systems throughout the nation. The public education system is under particular scrutiny given that students, families, and educators are under considerable stress to maintain academic progress. Since the beginning of the crisis, school-systems…
Descriptors: Achievement Tests, COVID-19, Pandemics, Public Schools
Yao, Lihua – Applied Psychological Measurement, 2013
Through simulated data, five multidimensional computerized adaptive testing (MCAT) selection procedures with varying test lengths are examined and compared using different stopping rules. Fixed item exposure rates are used for all the items, and the Priority Index (PI) method is used for the content constraints. Two stopping rules, standard error…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
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
Wang, Wen-Chung; Liu, Chen-Wei – Educational and Psychological Measurement, 2011
The generalized graded unfolding model (GGUM) has been recently developed to describe item responses to Likert items (agree-disagree) in attitude measurement. In this study, the authors (a) developed two item selection methods in computerized classification testing under the GGUM, the current estimate/ability confidence interval method and the cut…
Descriptors: Computer Assisted Testing, Adaptive Testing, Classification, Item Response Theory
Finkelman, Matthew David – Applied Psychological Measurement, 2010
In sequential mastery testing (SMT), assessment via computer is used to classify examinees into one of two mutually exclusive categories. Unlike paper-and-pencil tests, SMT has the capability to use variable-length stopping rules. One approach to shortening variable-length tests is stochastic curtailment, which halts examination if the probability…
Descriptors: Mastery Tests, Computer Assisted Testing, Adaptive Testing, Test Length

Kingsbury, G. Gage; Zara, Anthony R. – Applied Measurement in Education, 1989
Several classical approaches and alternative approaches to item selection for computerized adaptive testing (CAT) are reviewed and compared. The study also describes procedures for constrained CAT that may be added to classical item selection approaches to allow them to be used for applied testing. (TJH)
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Test Length
Chen, Shu-Ying; Ankenmann, Robert D.; Spray, Judith A. – 1999
This paper presents a derivation of an average between-test overlap index as a function of the item exposure index, for fixed-length computerized adaptive tests (CAT). This relationship is used to investigate the simultaneous control of item exposure at both the item and test levels. Implications for practice as well as future research are also…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Test Items
Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – Applied Psychological Measurement, 2002
Item exposure control, test-overlap minimization, and the efficient use of item pool are some of the important issues in computerized adaptive testing (CAT) designs. The overexposure of some items and high test-overlap rate may cause both item and test security problems. Previously these problems associated with the maximum information (Max-I)…
Descriptors: Test Length, Adaptive Testing, Item Analysis, Item Banks

Wang, Tianyou; Hanson, Bradley A.; Lau, Che-Ming A. – Applied Psychological Measurement, 1999
Extended the use of a beta prior in trait estimation to the maximum expected a posteriori (MAP) method of Bayesian estimation. This new method, essentially unbiased MAP, was compared with MAP, essentially unbiased expected a posteriori, weighted likelihood, and maximum-likelihood estimation methods. The new method significantly reduced bias in…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Estimation (Mathematics)
Stocking, Martha L. – 1994
As adaptive testing moves toward operational implementation in large scale testing programs, where it is important that adaptive tests be as parallel as possible to existing linear tests, a number of practical issues arise. This paper concerns three such issues. First, optimum item pool size is difficult to determine in advance of pool…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Standards
Wise, Steven L. – Applied Measurement in Education, 2006
In low-stakes testing, the motivation levels of examinees are often a matter of concern to test givers because a lack of examinee effort represents a direct threat to the validity of the test data. This study investigated the use of response time to assess the amount of examinee effort received by individual test items. In 2 studies, it was found…
Descriptors: Computer Assisted Testing, Motivation, Test Validity, Item Response Theory
Wainer, Howard; And Others – 1991
A series of computer simulations was run to measure the relationship between testlet validity and the factors of item pool size and testlet length for both adaptive and linearly constructed testlets. Results confirmed the generality of earlier empirical findings of H. Wainer and others (1991) that making a testlet adaptive yields only marginal…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Item Banks
Yi, Qing; Wang, Tianyou; Ban, Jae-Chun – 2000
Error indices (bias, standard error of estimation, and root mean square error) obtained on different scales of measurement under different test termination rules in a computerized adaptive test (CAT) context were examined. Four ability estimation methods were studied: (1) maximum likelihood estimation (MLE); (2) weighted likelihood estimation…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Error of Measurement
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