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Ersen, Rabia Karatoprak; Lee, Won-Chan – Journal of Educational Measurement, 2023
The purpose of this study was to compare calibration and linking methods for placing pretest item parameter estimates on the item pool scale in a 1-3 computerized multistage adaptive testing design in terms of item parameter recovery. Two models were used: embedded-section, in which pretest items were administered within a separate module, and…
Descriptors: Pretesting, Test Items, Computer Assisted Testing, Adaptive Testing
Xu, Lingling; Wang, Shiyu; Cai, Yan; Tu, Dongbo – Journal of Educational Measurement, 2021
Designing a multidimensional adaptive test (M-MST) based on a multidimensional item response theory (MIRT) model is critical to make full use of the advantages of both MST and MIRT in implementing multidimensional assessments. This study proposed two types of automated test assembly (ATA) algorithms and one set of routing rules that can facilitate…
Descriptors: Item Response Theory, Adaptive Testing, Automation, Test Construction
van der Linden, Wim J.; Choi, Seung W. – Journal of Educational Measurement, 2020
One of the methods of controlling test security in adaptive testing is imposing random item-ineligibility constraints on the selection of the items with probabilities automatically updated to maintain a predetermined upper bound on the exposure rates. Three major improvements of the method are presented. First, a few modifications to improve the…
Descriptors: Adaptive Testing, Item Response Theory, Feedback (Response), Item Analysis
Wyse, Adam E.; McBride, James R. – Journal of Educational Measurement, 2021
A key consideration when giving any computerized adaptive test (CAT) is how much adaptation is present when the test is used in practice. This study introduces a new framework to measure the amount of adaptation of Rasch-based CATs based on looking at the differences between the selected item locations (Rasch item difficulty parameters) of the…
Descriptors: Item Response Theory, Computer Assisted Testing, Adaptive Testing, Test Items
Kang, Hyeon-Ah; Zhang, Susu; Chang, Hua-Hua – Journal of Educational Measurement, 2017
The development of cognitive diagnostic-computerized adaptive testing (CD-CAT) has provided a new perspective for gaining information about examinees' mastery on a set of cognitive attributes. This study proposes a new item selection method within the framework of dual-objective CD-CAT that simultaneously addresses examinees' attribute mastery…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cognitive Tests, Test Items
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
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
Han, Kyung T. – Journal of Educational Measurement, 2012
Successful administration of computerized adaptive testing (CAT) programs in educational settings requires that test security and item exposure control issues be taken seriously. Developing an item selection algorithm that strikes the right balance between test precision and level of item pool utilization is the key to successful implementation…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
van der Linden, Wim J.; Diao, Qi – Journal of Educational Measurement, 2011
In automated test assembly (ATA), the methodology of mixed-integer programming is used to select test items from an item bank to meet the specifications for a desired test form and optimize its measurement accuracy. The same methodology can be used to automate the formatting of the set of selected items into the actual test form. Three different…
Descriptors: Test Items, Test Format, Test Construction, Item Banks
Huitzing, Hiddo A. – Journal of Educational Measurement, 2004
In optimal assembly of tests from item banks, linear programming (LP) models have proved to be very useful. Assembly by hand has become nearly impossible, but these LP techniques are able to find the best solutions, given the demands and needs of the test to be assembled and the specifics of the item bank from which it is assembled. However,…
Descriptors: Mathematical Applications, Test Construction, Item Banks, Models

Veldkamp, Bernard P. – Journal of Educational Measurement, 1999
Proposes methods appropriate for solving multiple objective test assembly problems. Discusses the impact of the method on the optimality of the solution and gives an empirical example of a test assembly problem for a two-dimensional mathematics item pool. (SLD)
Descriptors: Educational Objectives, Item Banks, Mathematics Tests, Test Construction
Ariel, Adelaide; van der Linden, Wim J.; Veldkamp, Bernard P. – Journal of Educational Measurement, 2006
Item-pool management requires a balancing act between the input of new items into the pool and the output of tests assembled from it. A strategy for optimizing item-pool management is presented that is based on the idea of a periodic update of an optimal blueprint for the item pool to tune item production to test assembly. A simulation study with…
Descriptors: Item Banks, Simulation, Interaction, Test Construction

Stocking, Martha L.; Ward, William C.; Potenza, Maria T. – Journal of Educational Measurement, 1998
Explored, using simulations, the use of disclosed items on continuous testing conditions under a worse-case scenario that assumes that disclosed items are always answered correctly. Some item pool and test designs were identified in which the use of disclosed items produces effects on test scores that may be viewed as negligible. (Author/MAK)
Descriptors: Adaptive Testing, Cheating, Computer Assisted Testing, Item Banks

Crehan, Kevin D. – Journal of Educational Measurement, 1974
Various item selection techniques are compared on criterion-referenced reliability and validity. Techniques compared include three nominal criterion-referenced methods, a traditional point biserial selection, teacher selection, and random selection. (Author)
Descriptors: Comparative Analysis, Criterion Referenced Tests, Item Analysis, Item Banks

Pyrczak, Fred – Journal of Educational Measurement, 1973
Despite the numerous individual illustrations in the literature showing how the discrimination index may be used to identify items with faults, its overall effectiveness as a measure of item quality, defined in terms of the presence or absence of faults, is not clear. This study investigates its validity. (Author/RK)
Descriptors: Correlation, Discriminant Analysis, Item Banks, Rating Scales