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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2021
Technical difficulties occasionally lead to missing item scores and hence to incomplete data on computerized tests. It is not straightforward to report scores to the examinees whose data are incomplete due to technical difficulties. Such reporting essentially involves imputation of missing scores. In this paper, a simulation study based on data…
Descriptors: Data Analysis, Scores, Educational Assessment, Educational Testing
Moravec, Lukáš; Jecmínek, Jakub; Kukalová, Gabriela – Journal on Efficiency and Responsibility in Education and Science, 2022
The COVID-19 pandemic outbreak has upended the educational system worldwide, possibly with severe long-term consequences as most training institutions were forced to move to an online environment. Given the sudden transition to remote education, the main objective of this contribution is to evaluate the impact of distance education on examination…
Descriptors: Tests, Scores, Foreign Countries, College Students
Bulut, Okan; Lei, Ming; Guo, Qi – International Journal of Research & Method in Education, 2018
Item positions in educational assessments are often randomized across students to prevent cheating. However, if altering item positions results in any significant impact on students' performance, it may threaten the validity of test scores. Two widely used approaches for detecting position effects -- logistic regression and hierarchical…
Descriptors: Alternative Assessment, Disabilities, Computer Assisted Testing, Structural Equation Models
Backes, Ben; Cowan, James – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
Nearly two dozen states now administer online exams. These tests have real consequences: their results feed into accountability systems, which have been used for more than a decade to hold schools and districts accountable for their students' learning. We examine the rollout of computer-based testing in Massachusetts over 2 years to investigate…
Descriptors: Computer Assisted Testing, Academic Achievement, Standardized Tests, Achievement Tests
Sinharay, Sandip; Wan, Ping; Choi, Seung W.; Kim, Dong-In – Journal of Educational Measurement, 2015
With an increase in the number of online tests, the number of interruptions during testing due to unexpected technical issues seems to be on the rise. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. Researchers such as…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Statistical Analysis
Sinharay, Sandip; Wan, Ping; Whitaker, Mike; Kim, Dong-In; Zhang, Litong; Choi, Seung W. – Journal of Educational Measurement, 2014
With an increase in the number of online tests, interruptions during testing due to unexpected technical issues seem unavoidable. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. There is a lack of research on this…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Regression (Statistics)
Evans, Brent; Culp, Robert – e-Journal of Business Education and Scholarship of Teaching, 2015
In an effort to better understand the impact of timing limits, the authors compare the learning outcomes of students who completed timed quizzes with students who took untimed quizzes in economics principles courses. Students were assigned two online quizzes--one timed and one untimed--and re-tested on the material the following class day. Our…
Descriptors: Computer Assisted Testing, Timed Tests, Outcomes of Education, Economics Education
Fask, Alan; Englander, Fred; Wang, Zhaobo – Practical Assessment, Research & Evaluation, 2015
There has been a remarkable growth in distance learning courses in higher education. Despite indications that distance learning courses are more vulnerable to cheating behavior than traditional courses, there has been little research studying whether online exams facilitate a relatively greater level of cheating. This article examines this issue…
Descriptors: Distance Education, Introductory Courses, Statistics, Cheating
Nelson, Peter M.; Parker, David C.; Zaslofsky, Anne F. – Assessment for Effective Intervention, 2016
The purpose of the current study was to evaluate the importance of growth in math fact skills within the context of overall math proficiency. Data for 1,493 elementary and middle school students were included for analysis. Regression models were fit to examine the relative value of math fact fluency growth, prior state test performance, and a fall…
Descriptors: Mathematics, Mathematics Instruction, Mathematics Skills, Mathematics Achievement
Price, Iya Khelm; Witzel, Naoko; Witzel, Jeffrey – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
This study reports 2 eye-tracking experiments investigating form interference during sentence-level silent reading. The items involved reduced and unreduced relative clauses (RCs) with words that were orthographically and phonologically similar "(injection-infection"; O+P+, Experiment 1) as well as with words that were orthographically…
Descriptors: Eye Movements, Phonology, Reading Processes, Silent Reading
Attali, Yigal; Sinharay, Sandip – ETS Research Report Series, 2015
The "e-rater"® automated essay scoring system is used operationally in the scoring of "TOEFL iBT"® independent and integrated tasks. In this study we explored the psychometric added value of reporting four trait scores for each of these two tasks, beyond the total e-rater score.The four trait scores are word choice, grammatical…
Descriptors: Writing Tests, Scores, Language Tests, English (Second Language)
George, Michael; Khazanov, Leonid; McCarthy, Chris – Community College Journal of Research and Practice, 2015
Remedial mathematics at the college level has evidenced strikingly low retention and passing rates. It has been shown that at least 25% of the variation in student performance is explained by students' affective variables such as attitudes, study skills, and mathematics anxiety. This study endeavored to address affective variables by: (a)…
Descriptors: Peer Teaching, Coaching (Performance), At Risk Students, Remedial Mathematics
Attali, Yigal; Sinharay, Sandip – ETS Research Report Series, 2015
The "e-rater"® automated essay scoring system is used operationally in the scoring of the argument and issue tasks that form the Analytical Writing measure of the "GRE"® General Test. For each of these tasks, this study explored the value added of reporting 4 trait scores for each of these 2 tasks over the total e-rater score.…
Descriptors: Scores, Computer Assisted Testing, Computer Software, Grammar
DeNicco, James; Harrington, Paul; Fogg, Neeta – Research in Higher Education Journal, 2015
This paper explores the factors of freshman year college retention by using a unique data set tracking the participation of a cohort of 1,800 students in a public state college system through 2011 from their freshman enrollment at a community college in 2006. The focus is on prevalent factors in the college retention literature, including…
Descriptors: College Freshmen, School Holding Power, Academic Persistence, Public Colleges
Deane, Paul – ETS Research Report Series, 2014
This paper explores automated methods for measuring features of student writing and determining their relationship to writing quality and other features of literacy, such as reading rest scores. In particular, it uses the "e-rater"™ automatic essay scoring system to measure "product" features (measurable traits of the final…
Descriptors: Writing Processes, Writing Evaluation, Student Evaluation, Writing Skills
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