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Wise, Steven L.; Kuhfeld, Megan R.; Soland, James – Applied Measurement in Education, 2019
When we administer educational achievement tests, we want to be confident that the resulting scores validly indicate what the test takers know and can do. However, if the test is perceived as low stakes by the test taker, disengaged test taking sometimes occurs, which poses a serious threat to score validity. When computer-based tests are used,…
Descriptors: Guessing (Tests), Computer Assisted Testing, Achievement Tests, Scores
Soland, James – Applied Measurement in Education, 2018
This study estimated male-female and Black-White achievement gaps without accounting for low test motivation, then compared those estimates to ones that used several approaches to addressing rapid guessing. Researchers investigated two issues: (1) The differences in rates of rapid guessing across subgroups and (2) How much achievement gap…
Descriptors: Guessing (Tests), Achievement Gap, Student Motivation, Learner Engagement
Lottridge, Susan; Wood, Scott; Shaw, Dan – Applied Measurement in Education, 2018
This study sought to provide a framework for evaluating machine score-ability of items using a new score-ability rating scale, and to determine the extent to which ratings were predictive of observed automated scoring performance. The study listed and described a set of factors that are thought to influence machine score-ability; these factors…
Descriptors: Program Effectiveness, Computer Assisted Testing, Test Scoring Machines, Scoring
Pomplun, Mark – Applied Measurement in Education, 2007
This study investigated the usefulness of the bifactor model in the investigation of score equivalence from computerized and paper-and-pencil formats of the same reading tests. Concerns about the equivalence of the paper-and-pencil and computerized formats were warranted because of the use of reading passages, computer unfamiliarity of primary…
Descriptors: Models, Reading Tests, Equated Scores, Computer Assisted Testing
Pomplun, Mark; Custer, Michael – Applied Measurement in Education, 2005
In this study, we investigated possible context effects when students chose to defer items and answer those items later during a computerized test. In 4 primary school reading tests, 126 items were studied. Logistic regression analyses identified 4 items across 4 grade levels as statistically significant. However, follow-up analyses indicated that…
Descriptors: Psychometrics, Reading Tests, Effect Size, Test Items