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Jones, Paul; Tong, Ye; Liu, Jinghua; Borglum, Joshua; Primoli, Vince – Journal of Educational Measurement, 2022
This article studied two methods to detect mode effects in two credentialing exams. In Study 1, we used a "modal scale comparison approach," where the same pool of items was calibrated separately, without transformation, within two TC cohorts (TC1 and TC2) and one OP cohort (OP1) matched on their pool-based scale score distributions. The…
Descriptors: Scores, Credentials, Licensing Examinations (Professions), Computer Assisted Testing
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Baldwin, Peter; Clauser, Brian E. – Journal of Educational Measurement, 2022
While score comparability across test forms typically relies on common (or randomly equivalent) examinees or items, innovations in item formats, test delivery, and efforts to extend the range of score interpretation may require a special data collection before examinees or items can be used in this way--or may be incompatible with common examinee…
Descriptors: Scoring, Testing, Test Items, Test Format
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Liu, Shuchang; Cai, Yan; Tu, Dongbo – Journal of Educational Measurement, 2018
This study applied the mode of on-the-fly assembled multistage adaptive testing to cognitive diagnosis (CD-OMST). Several and several module assembly methods for CD-OMST were proposed and compared in terms of measurement precision, test security, and constrain management. The module assembly methods in the study included the maximum priority index…
Descriptors: Adaptive Testing, Monte Carlo Methods, Computer Security, Clinical Diagnosis
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Puhan, Gautam; Kim, Sooyeon – Journal of Educational Measurement, 2022
As a result of the COVID-19 pandemic, at-home testing has become a popular delivery mode in many testing programs. When programs offer at-home testing to expand their service, the score comparability between test takers testing remotely and those testing in a test center is critical. This article summarizes statistical procedures that could be…
Descriptors: Scores, Scoring, Comparative Analysis, Testing
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Sinharay, Sandip – Journal of Educational Measurement, 2017
Person-fit assessment (PFA) is concerned with uncovering atypical test performance as reflected in the pattern of scores on individual items on a test. Existing person-fit statistics (PFSs) include both parametric and nonparametric statistics. Comparison of PFSs has been a popular research topic in PFA, but almost all comparisons have employed…
Descriptors: Goodness of Fit, Testing, Test Items, Scores
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Zhang, Jinming; Li, Jie – Journal of Educational Measurement, 2016
An IRT-based sequential procedure is developed to monitor items for enhancing test security. The procedure uses a series of statistical hypothesis tests to examine whether the statistical characteristics of each item under inspection have changed significantly during CAT administration. This procedure is compared with a previously developed…
Descriptors: Computer Assisted Testing, Test Items, Difficulty Level, Item Response Theory
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Veldkamp, Bernard P. – Journal of Educational Measurement, 2016
Many standardized tests are now administered via computer rather than paper-and-pencil format. The computer-based delivery mode brings with it certain advantages. One advantage is the ability to adapt the difficulty level of the test to the ability level of the test taker in what has been termed computerized adaptive testing (CAT). A second…
Descriptors: Computer Assisted Testing, Reaction Time, Standardized Tests, Difficulty Level
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Zwick, Rebecca; Ye, Lei; Isham, Steven – Journal of Educational Measurement, 2018
In typical differential item functioning (DIF) assessments, an item's DIF status is not influenced by its status in previous test administrations. An item that has shown DIF at multiple administrations may be treated the same way as an item that has shown DIF in only the most recent administration. Therefore, much useful information about the…
Descriptors: Test Bias, Testing, Test Items, Bayesian Statistics
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Luo, Xiao; Kim, Doyoung – Journal of Educational Measurement, 2018
The top-down approach to designing a multistage test is relatively understudied in the literature and underused in research and practice. This study introduced a route-based top-down design approach that directly sets design parameters at the test level and utilizes the advanced automated test assembly algorithm seeking global optimality. The…
Descriptors: Computer Assisted Testing, Test Construction, Decision Making, Simulation
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Li, Jie; van der Linden, Wim J. – Journal of Educational Measurement, 2018
The final step of the typical process of developing educational and psychological tests is to place the selected test items in a formatted form. The step involves the grouping and ordering of the items to meet a variety of formatting constraints. As this activity tends to be time-intensive, the use of mixed-integer programming (MIP) has been…
Descriptors: Programming, Automation, Test Items, Test Format
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Sinharay, Sandip; Wan, Ping; Choi, Seung W.; Kim, Dong-In – Journal of Educational Measurement, 2015
With an increase in the number of online tests, the number of interruptions during testing due to unexpected technical issues seems to be on the rise. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. Researchers such as…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Statistical Analysis
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Heritage, Margaret; Kingston, Neal M. – Journal of Educational Measurement, 2019
Classroom assessment and large-scale assessment have, for the most part, existed in mutual isolation. Some experts have felt this is for the best and others have been concerned that the schism limits the potential contribution of both forms of assessment. Margaret Heritage has long been a champion of best practices in classroom assessment. Neal…
Descriptors: Measurement, Psychometrics, Context Effect, Classroom Environment
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Yao, Lihua – Journal of Educational Measurement, 2014
The intent of this research was to find an item selection procedure in the multidimensional computer adaptive testing (CAT) framework that yielded higher precision for both the domain and composite abilities, had a higher usage of the item pool, and controlled the exposure rate. Five multidimensional CAT item selection procedures (minimum angle;…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
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Shermis, Mark D.; Lottridge, Sue; Mayfield, Elijah – Journal of Educational Measurement, 2015
This study investigated the impact of anonymizing text on predicted scores made by two kinds of automated scoring engines: one that incorporates elements of natural language processing (NLP) and one that does not. Eight data sets (N = 22,029) were used to form both training and test sets in which the scoring engines had access to both text and…
Descriptors: Scoring, Essays, Computer Assisted Testing, Natural Language Processing
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Wang, Wenyi; Song, Lihong; Chen, Ping; Meng, Yaru; Ding, Shuliang – Journal of Educational Measurement, 2015
Classification consistency and accuracy are viewed as important indicators for evaluating the reliability and validity of classification results in cognitive diagnostic assessment (CDA). Pattern-level classification consistency and accuracy indices were introduced by Cui, Gierl, and Chang. However, the indices at the attribute level have not yet…
Descriptors: Classification, Reliability, Accuracy, Cognitive Tests
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