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Steedle, Jeffrey T.; Cho, Young Woo; Wang, Shichao; Arthur, Ann M.; Li, Dongmei – Educational Measurement: Issues and Practice, 2022
As testing programs transition from paper to online testing, they must study mode comparability to support the exchangeability of scores from different testing modes. To that end, a series of three mode comparability studies was conducted during the 2019-2020 academic year with examinees randomly assigned to take the ACT college admissions exam on…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Scores, Test Format
Wang, Shichao; Li, Dongmei; Steedle, Jeffrey – ACT, Inc., 2021
Speeded tests set time limits so that few examinees can reach all items, and power tests allow most test-takers sufficient time to attempt all items. Educational achievement tests are sometimes described as "timed power tests" because the amount of time provided is intended to allow nearly all students to complete the test, yet this…
Descriptors: Timed Tests, Test Items, Achievement Tests, Testing
Wang, Lu; Steedle, Jeffrey – ACT, Inc., 2020
In recent ACT mode comparability studies, students testing on laptop or desktop computers earned slightly higher scores on average than students who tested on paper, especially on the ACT® reading and English tests (Li et al., 2017). Equating procedures adjust for such "mode effects" to make ACT scores comparable regardless of testing…
Descriptors: Test Format, Reading Tests, Language Tests, English
Smolinsky, Lawrence; Marx, Brian D.; Olafsson, Gestur; Ma, Yanxia A. – Journal of Educational Computing Research, 2020
Computer-based testing is an expanding use of technology offering advantages to teachers and students. We studied Calculus II classes for science, technology, engineering, and mathematics majors using different testing modes. Three sections with 324 students employed: paper-and-pencil testing, computer-based testing, and both. Computer tests gave…
Descriptors: Test Format, Computer Assisted Testing, Paper (Material), Calculus
Steedle, Jeffrey; Pashley, Peter; Cho, YoungWoo – ACT, Inc., 2020
Three mode comparability studies were conducted on the following Saturday national ACT test dates: October 26, 2019, December 14, 2019, and February 8, 2020. The primary goal of these studies was to evaluate whether ACT scores exhibited mode effects between paper and online testing that would necessitate statistical adjustments to the online…
Descriptors: Test Format, Computer Assisted Testing, College Entrance Examinations, Scores
Li, Dongmei; Yi, Qing; Harris, Deborah – ACT, Inc., 2017
In preparation for online administration of the ACT® test, ACT conducted studies to examine the comparability of scores between online and paper administrations, including a timing study in fall 2013, a mode comparability study in spring 2014, and a second mode comparability study in spring 2015. This report presents major findings from these…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Comparative Analysis, Test Format
Peters, Joshua A. – ProQuest LLC, 2016
There is a lack of knowledge in whether there is a difference in results for students on paper and pencil high stakes assessments and computer-based high stakes assessments when considering race and/or free and reduced lunch status. The purpose of this study was to add new knowledge to this field of study by determining whether there is a…
Descriptors: Comparative Analysis, Computer Assisted Testing, Lunch Programs, High Stakes Tests
Ryan, Barbara A. – ProQuest LLC, 2012
Beginning with the No Child Left Behind federal legislation, states were required to use data to monitor and improve student achievement. For high schools, the Missouri Department of Elementary and Secondary Education chose End of Course Exams (EOC) to demonstrate levels of student achievement. The policy changed from school choice of paper-pencil…
Descriptors: Federal Government, Testing, Grade Point Average, Predictor Variables
Ackerman, Terry A. – 1987
The purpose of this study was to investigate the effect of using multidimensional items in a computer adaptive test (CAT) setting which assumes a unidimensional item response theory (IRT) framework. Previous research has suggested that the composite of multidimensional abilities being estimated by a unidimensional IRT model is not constant…
Descriptors: Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Computer Simulation