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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
Andrea Cedeno – ProQuest LLC, 2022
The relationship between computer-based and paper-based testing may vary. Students with special needs may or may not perform better on computer-based testing compared to paper-based testing. Over the past few decades, computers and technology have increased in society and in classrooms. The use of technology has increased during the era of the…
Descriptors: Computer Assisted Testing, Test Format, Special Needs Students, Reading Comprehension
Digital SAT® Score Relationships with Other Educational Measures: Early Convergent Validity Evidence
Marini, Jessica P.; Westrick, Paul A.; Young, Linda; Shaw, Emily J. – College Board, 2022
This study examines relationships between digital SAT scores and other relevant educational measures, such as high school grade point average (HSGPA), PSAT/NMSQT Total score, and Average AP Exam score, and compares those relationships to current paper and pencil SAT score relationships with the same measures. This information can provide…
Descriptors: Scores, College Entrance Examinations, Comparative Analysis, Test Format
Ali Amjadi – Reading & Writing Quarterly, 2024
Over the last few years, technology has offered new ways of teaching and learning. Accordingly, educational systems are adopting what technology has purveyed to education. The abrupt upsurge of the COVID-19 pandemic also expedited this employment and impelled educational systems to shift to online teaching and learning. Consequently, the offline…
Descriptors: Test Format, Reading Comprehension, Computer Assisted Testing, Reading Strategies
Shin, Jinnie; Gierl, Mark J. – International Journal of Testing, 2022
Over the last five years, tremendous strides have been made in advancing the AIG methodology required to produce items in diverse content areas. However, the one content area where enormous problems remain unsolved is language arts, generally, and reading comprehension, more specifically. While reading comprehension test items can be created using…
Descriptors: Reading Comprehension, Test Construction, Test Items, Natural Language Processing
Chan, Jessica; Adlof, Suzanne M.; Duff, Dawna; Mitchell, Alexis; Ragunathan, Maalavika; Ehrhorn, Anna M. – Language, Speech, and Hearing Services in Schools, 2022
Purpose: The purpose of this study was to examine the relationship between parent concerns about children's oral language, reading, and related skills and their children's performance on standardized assessments of language and reading, with a particular focus on whether those relationships differed between children recruited for in-school versus…
Descriptors: Language Skills, Reading Ability, Oral Language, Parents
Ben-Yehudah, Gal; Eshet-Alkalai, Yoram – British Journal of Educational Technology, 2021
The use of digital environments for both learning and assessment is becoming prevalent. This often leads to incongruent situations, in which the study medium (eg, printed textbook) is different from the testing medium (eg, online multiple-choice exams). Despite some evidence that incongruent study-test situations are associated with inferior…
Descriptors: Reading Comprehension, Reading Tests, Test Format, Computer Assisted Testing
Anakaren Lopez – ProQuest LLC, 2023
This research study investigates the impact of the rapid transition from paper-based to online administration of the State of Texas Assessments of Academic Readiness (STAAR) exams on student performance in a South Texas school district. The transition, mandated by House Bill 3261, presented Texas public schools with a tight timeline for adapting…
Descriptors: Achievement Tests, Electronic Learning, Computer Assisted Testing, Scores
Zou, Xiao-Ling; Ou, Ling – Educational Assessment, Evaluation and Accountability, 2020
This paper started with the examination of the effect of mobile-based reading test on EFL test-takers of different attitudes from their perception of metacognitive strategy use and the knock-on impact on test results. Then other possible factors of such impact are explored and corresponding solutions are presented. Quantitative analysis of…
Descriptors: English (Second Language), Second Language Learning, Reading Tests, Computer Assisted Testing
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
Hammad, Enas Abdullah – Arab World English Journal, 2021
Despite Palestinian university students' problems with the Test of English as a Foreign Language Internet-based Test, no researchers approached this research area in the Palestinian English as a Foreign Language context. The present study attempted to answer a question focusing on Palestinian university students' problems with the reading sections…
Descriptors: College Seniors, Computer Assisted Testing, Paper (Material), Test Format
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
Kim, Ahyoung Alicia; Tywoniw, Rurik L.; Chapman, Mark – Language Assessment Quarterly, 2022
Technology-enhanced items (TEIs) are innovative, computer-delivered test items that allow test takers to better interact with the test environment compared to traditional multiple-choice items (MCIs). The interactive nature of TEIs offer improved construct coverage compared with MCIs but little research exists regarding students' performance on…
Descriptors: Language Tests, Test Items, Computer Assisted Testing, English (Second Language)
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
Arnold, Sharon; Reed, Phil – British Journal of Special Education, 2019
Approximately 30% of school-aged individuals with autism spectrum disorder (ASD) are nonverbal (that is, they have little or no spontaneous spoken language). Most reading tests require verbalisation, which may under-estimate reading ability in this group. To determine decoding abilities of nonverbal children with ASD (with an age range of 72 to…
Descriptors: Word Recognition, Autism, Pervasive Developmental Disorders, Decoding (Reading)