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Hahnel, Carolin; Kroehne, Ulf; Goldhammer, Frank; Schoor, Cornelia; Mahlow, Nina; Artelt, Cordula – British Journal of Educational Psychology, 2019
Background: With digital technologies, competence assessments can provide process data, such as mouse clicks with corresponding timestamps, as additional information about the skills and strategies of test takers. However, in order to use variables generated from process data sensibly for educational purposes, their interpretation needs to be…
Descriptors: Computer Assisted Testing, Test Interpretation, Foreign Countries, College Students
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Ben Seipel; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison; Patrick C. Kennedy – Grantee Submission, 2022
Originally designed for students in Grades 3 through 5, MOCCA (formerly the Multiple-choice Online Causal Comprehension Assessment), identifies students who struggle with comprehension, and helps uncover why they struggle. There are many reasons why students might not comprehend what they read. They may struggle with decoding, or reading words…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Diagnostic Tests, Reading Tests
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Searls, Donald T.; And Others – Journal of Experimental Education, 1990
Indices that detail aspects of student test responses include overall aberrancy; tendencies to miss relatively easy items; tendencies to correctly answer more difficult items; and a combination that indicates how the latter tendencies balance each other. Mathematics test results for 368 college students illustrate the indices. (SLD)
Descriptors: College Students, Computer Assisted Testing, Higher Education, Response Style (Tests)