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Leroux, Audrey J.; Dodd, Barbara G. – Journal of Experimental Education, 2016
The current study compares the progressive-restricted standard error (PR-SE) exposure control method with the Sympson-Hetter, randomesque, and no exposure control (maximum information) procedures using the generalized partial credit model with fixed- and variable-length CATs and two item pools. The PR-SE method administered the entire item pool…
Descriptors: Computer Assisted Testing, Adaptive Testing, Comparative Analysis, Error of Measurement
Leroux, Audrey J.; Lopez, Myriam; Hembry, Ian; Dodd, Barbara G. – Educational and Psychological Measurement, 2013
This study compares the progressive-restricted standard error (PR-SE) exposure control procedure to three commonly used procedures in computerized adaptive testing, the randomesque, Sympson-Hetter (SH), and no exposure control methods. The performance of these four procedures is evaluated using the three-parameter logistic model under the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Comparative Analysis, Statistical Analysis
Ho, Tsung-Han; Dodd, Barbara G. – Applied Measurement in Education, 2012
In this study we compared five item selection procedures using three ability estimation methods in the context of a mixed-format adaptive test based on the generalized partial credit model. The item selection procedures used were maximum posterior weighted information, maximum expected information, maximum posterior weighted Kullback-Leibler…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
Lee, HwaYoung; Dodd, Barbara G. – Educational and Psychological Measurement, 2012
This study investigated item exposure control procedures under various combinations of item pool characteristics and ability distributions in computerized adaptive testing based on the partial credit model. Three variables were manipulated: item pool characteristics (120 items for each of easy, medium, and hard item pools), two ability…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Ability
Moyer, Eric L.; Galindo, Jennifer L.; Dodd, Barbara G. – Educational and Psychological Measurement, 2012
Managing test specifications--both multiple nonstatistical constraints and flexibly defined constraints--has become an important part of designing item selection procedures for computerized adaptive tests (CATs) in achievement testing. This study compared the effectiveness of three procedures: constrained CAT, flexible modified constrained CAT,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Item Analysis
Murphy, Daniel L.; Dodd, Barbara G.; Vaughn, Brandon K. – Applied Psychological Measurement, 2010
This study examined the performance of the maximum Fisher's information, the maximum posterior weighted information, and the minimum expected posterior variance methods for selecting items in a computerized adaptive testing system when the items were grouped in testlets. A simulation study compared the efficiency of ability estimation among the…
Descriptors: Simulation, Adaptive Testing, Item Analysis, Item Response Theory
Boyd, Aimee M.; Dodd, Barbara G.; Fitzpatrick, Steven J. – 2003
This study compared several item exposure control procedures for computerized adaptive test (CAT) systems based on a three-parameter logistic testlet response theory model (X. Wang, E. Bradlow, and H. Wainer, 2002) and G. Masters' (1982) partial credit model using real data from the Verbal Reasoning section of the Medical College Admission Test.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items
Peer reviewedDavis, Laurie Laughlin; Pastor, Dena A.; Dodd, Barbara G.; Chiang, Claire; Fitzpatrick, Steven J. – Journal of Applied Measurement, 2003
Examined the effectiveness of the Sympson-Hetter technique and rotated content balancing relative to no exposure control and no content rotation conditions in a computerized adaptive testing system based on the partial credit model. Simulation results show the Sympson-Hetter technique can be used with minimal impact on measurement precision,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Simulation
Peer reviewedPastor, Dena A.; Dodd, Barbara G.; Chang, Hua-Hua – Applied Psychological Measurement, 2002
Studied the impact of using five different exposure control algorithms in two sizes of item pool calibrated using the generalized partial credit model. Simulation results show that the a-stratified design, in comparison to a no-exposure control condition, could be used to reduce item exposure and overlap and increase pool use, while degrading…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Item Banks
Peer reviewedDodd, Barbara G.; And Others – Applied Psychological Measurement, 1995
Polytomous item response theory models and the research that has been conducted to investigate a variety of possible operational procedures for polytomous model-based computerized adaptive testing (CAT) are reviewed, along with studies comparing polytomous CAT systems with competing item response theory models. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Test Items
Peer reviewedDodd, Barbara G. – Applied Psychological Measurement, 1990
Using one simulated and two real data sets, the effects of the systematic variation of the item-selection procedure and the stepsize method on the operating characteristics of computerized adaptive testing (CAT) for instruments with polychotomously scored rating scale items were studied. The six rating scale CAT procedures used performed well.…
Descriptors: Adaptive Testing, Attitude Measures, Comparative Analysis, Computer Assisted Testing
Peer reviewedDodd, Barbara G.; And Others – Educational and Psychological Measurement, 1993
Effects of the following variables on performance of computerized adaptive testing (CAT) procedures for the partial credit model (PCM) were studied: (1) stopping rule for terminating CAT; (2) item pool size; and (3) distribution of item difficulties. Implications of findings for CAT systems based on the PCM are discussed. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Difficulty Level

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