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Rutkowski, David; Rutkowski, Leslie; Flores, Charity – Educational Assessment, 2022
As more states move to universal computer-based assessments, an emergent issue concerns the effect that device type might have on student results. Although, several research studies have explored device effects, most of these studies focused on the differences between tablets and desktops/laptops. In the current study, we distinguish between…
Descriptors: Computer Assisted Testing, Computers, Laptop Computers, Handheld Devices
Wang, Shudong; McCall, Marty; Jiao, Hong; Harris, Gregg – Online Submission, 2012
The purposes of this study are twofold. First, to investigate the construct or factorial structure of a set of Reading and Mathematics computerized adaptive tests (CAT), "Measures of Academic Progress" (MAP), given in different states at different grades and academic terms. The second purpose is to investigate the invariance of test…
Descriptors: Construct Validity, Factor Structure, Adaptive Testing, Computer Assisted Testing
Ling, Guangming – International Journal of Testing, 2016
To investigate possible iPad related mode effect, we tested 403 8th graders in Indiana, Maryland, and New Jersey under three mode conditions through random assignment: a desktop computer, an iPad alone, and an iPad with an external keyboard. All students had used an iPad or computer for six months or longer. The 2-hour test included reading, math,…
Descriptors: Educational Testing, Computer Assisted Testing, Handheld Devices, Computers
Kettler, Ryan J. – Journal of Psychoeducational Assessment, 2011
The final regulations of the "No Child Left Behind" Act (U.S. Department of Education, 2007a, 2007b) indicate that a small group of students with disabilities can be counted as proficient through an alternate assessment based on modified academic achievement standards. This new policy gives individualized education program teams the…
Descriptors: Alternative Assessment, Computer Assisted Testing, Disabilities, Testing Accommodations