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Buzick, Heather; Oliveri, Maria Elena; Attali, Yigal; Flor, Michael – Applied Measurement in Education, 2016
Automated essay scoring is a developing technology that can provide efficient scoring of large numbers of written responses. Its use in higher education admissions testing provides an opportunity to collect validity and fairness evidence to support current uses and inform its emergence in other areas such as K-12 large-scale assessment. In this…
Descriptors: Essays, Learning Disabilities, Attention Deficit Hyperactivity Disorder, Scoring
Hayes, Heather; Embretson, Susan E. – Applied Measurement in Education, 2013
Online and on-demand tests are increasingly used in assessment. Although the main focus has been cheating and test security (e.g., Selwyn, 2008) the cross-setting equivalence of scores as a function of contrasting test conditions is also an issue that warrants attention. In this study, the impact of environmental and cognitive distractions, as…
Descriptors: College Students, Computer Assisted Testing, Problem Solving, Physical Environment
Livingston, Samuel A.; Antal, Judit – Applied Measurement in Education, 2010
A simultaneous equating of four new test forms to each other and to one previous form was accomplished through a complex design incorporating seven separate equating links. Each new form was linked to the reference form by four different paths, and each path produced a different score conversion. The procedure used to resolve these inconsistencies…
Descriptors: Measurement Techniques, Measurement, Educational Assessment, Educational Testing

Bennett, Randy Elliot; Morley, Mary; Quardt, Dennis; Rock, Donald A. – Applied Measurement in Education, 2000
Investigated the functioning of a new computer-delivered graphical modeling (GM) response type for use in a graduate admissions assessment using two GM tests differing in item features randomly spiraled among participants. Results show GM scores to be reliable and moderately related to the quantitative section of the Graduate Record Examinations.…
Descriptors: College Entrance Examinations, College Students, Computer Assisted Testing, Graduate Study

Wise, Steven L.; And Others – Applied Measurement in Education, 1994
The hypothesis that previously found effects of self-adapted testing (SAT) are attributable to examinees' having an increased perception of control over a stressful testing situation was studied with 377 college students who took computerized adaptive tests or SAT. The strongest preference for SAT was seen in individuals with the highest…
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Higher Education

Kobrin, Jennifer L.; Young, John W. – Applied Measurement in Education, 2003
Studied the cognitive equivalence of computerized and paper-and-pencil reading comprehension tests using verbal protocol analysis. Results for 48 college students indicate that the only significant difference between the computerized and paper-and-pencil tests was in the frequency of identifying important information in the passage. (SLD)
Descriptors: Cognitive Processes, College Students, Computer Assisted Testing, Difficulty Level

Vispoel, Walter P.; And Others – Applied Measurement in Education, 1994
Vocabulary fixed-item (FIT), computerized-adaptive (CAT), and self-adapted (SAT) tests were compared with 121 college students. CAT was more precise and efficient than SAT, which was more precise and efficient than FIT. SAT also yielded higher ability estimates for individuals with lower verbal self-concepts. (SLD)
Descriptors: Ability, Adaptive Testing, College Students, Comparative Analysis

Bergstrom, Betty A.; And Others – Applied Measurement in Education, 1992
Effects of altering test difficulty on examinee ability measures and test length in a computer adaptive test were studied for 225 medical technology students in 3 test difficulty conditions. Results suggest that, with an item pool of sufficient depth and breadth, acceptable targeting to test difficulty is possible. (SLD)
Descriptors: Ability, Adaptive Testing, Change, College Students