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Ling, Guangming; Buzick, Heather; Belur, Vinetha – Exceptional Children, 2020
We evaluated the validity of using the GRE General Test to assist with graduate school admissions for individuals with disabilities. We studied a sample of 16,239 graduate students from 10 U.S. research universities in three groups: students without any reported disabilities, students who reported disabilities and took the computer-delivered GRE…
Descriptors: Graduate Students, Students with Disabilities, College Entrance Examinations, Graduate Study
Robin, Frédéric; Bejar, Isaac; Liang, Longjuan; Rijmen, Frank – ETS Research Report Series, 2016
Exploratory and confirmatory factor analyses of domestic data from the" GRE"® revised General Test, introduced in 2011, were conducted separately for the verbal (VBL) and quantitative (QNT) reasoning measures to evaluate the unidimensionality and local independence assumptions required by item response theory (IRT). Results based on data…
Descriptors: College Entrance Examinations, Graduate Study, Verbal Tests, Mathematics Tests
Marja Martin-Carruth – ProQuest LLC, 2023
College and university admission testing requirements often serve as a barrier to many students seeking advanced degrees. Many graduate school admission boards/committees use the minimum testing requirement as a predictor variable to explain a student's chance for success in a program. Before the 2020 Fall semester, many graduate schools required…
Descriptors: Enrollment Trends, Testing, Educational Policy, Program Implementation
Buzick, Heather; Oliveri, Maria Elena; Attali, Yigal; Flor, Michael – Applied Measurement in Education, 2016
Automated essay scoring is a developing technology that can provide efficient scoring of large numbers of written responses. Its use in higher education admissions testing provides an opportunity to collect validity and fairness evidence to support current uses and inform its emergence in other areas such as K-12 large-scale assessment. In this…
Descriptors: Essays, Learning Disabilities, Attention Deficit Hyperactivity Disorder, Scoring
Haberman, Shelby J. – ETS Research Report Series, 2020
Best linear prediction (BLP) and penalized best linear prediction (PBLP) are techniques for combining sources of information to produce task scores, section scores, and composite test scores. The report examines issues to consider in operational implementation of BLP and PBLP in testing programs administered by ETS [Educational Testing Service].
Descriptors: Prediction, Scores, Tests, Testing Programs
Liu, Yuming; Robin, Frédéric; Yoo, Hanwook; Manna, Venessa – ETS Research Report Series, 2018
The "GRE"® Psychology test is an achievement test that measures core knowledge in 12 content domains that represent the courses commonly offered at the undergraduate level. Currently, a total score and 2 subscores, experimental and social, are reported to test takers as well as graduate institutions. However, the American Psychological…
Descriptors: College Entrance Examinations, Graduate Study, Psychological Testing, Scores
Yao, Lili; Haberman, Shelby J.; Zhang, Mo – ETS Research Report Series, 2019
Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…
Descriptors: Prediction, True Scores, Computer Assisted Testing, Scoring
Kim, Sooyeon; Moses, Tim – ETS Research Report Series, 2016
The purpose of this study is to evaluate the extent to which item response theory (IRT) proficiency estimation methods are robust to the presence of aberrant responses under the "GRE"® General Test multistage adaptive testing (MST) design. To that end, a wide range of atypical response behaviors affecting as much as 10% of the test items…
Descriptors: Item Response Theory, Computation, Robustness (Statistics), Response Style (Tests)
Ramineni, Chaitanya; Williamson, David – ETS Research Report Series, 2018
Notable mean score differences for the "e-rater"® automated scoring engine and for humans for essays from certain demographic groups were observed for the "GRE"® General Test in use before the major revision of 2012, called rGRE. The use of e-rater as a check-score model with discrepancy thresholds prevented an adverse impact…
Descriptors: Scores, Computer Assisted Testing, Test Scoring Machines, Automation
Sternberg, Robert J.; Wong, Chak Haang; Sternberg, Karin – Journal of Intelligence, 2019
We conducted two studies to replicate and extend, as well as test, the limits of previous findings regarding an apparent disconnect between scientific-reasoning skills in psychological science, on the one hand, and scores on standardized tests of general intelligence, on the other. In Study 1, we examined whether this disconnect would extend…
Descriptors: Psychology, Sciences, Thinking Skills, Multiple Choice Tests
Breyer, F. Jay; Attali, Yigal; Williamson, David M.; Ridolfi-McCulla, Laura; Ramineni, Chaitanya; Duchnowski, Matthew; Harris, April – ETS Research Report Series, 2014
In this research, we investigated the feasibility of implementing the "e-rater"® scoring engine as a check score in place of all-human scoring for the "Graduate Record Examinations"® ("GRE"®) revised General Test (rGRE) Analytical Writing measure. This report provides the scientific basis for the use of e-rater as a…
Descriptors: Computer Software, Computer Assisted Testing, Scoring, College Entrance Examinations
Davey, Tim; Lee, Yi-Hsuan – ETS Research Report Series, 2011
Both theoretical and practical considerations have led the revision of the Graduate Record Examinations® (GRE®) revised General Test, here called the rGRE, to adopt a multistage adaptive design that will be continuously or nearly continuously administered and that can provide immediate score reporting. These circumstances sharply constrain the…
Descriptors: Context Effect, Scoring, Equated Scores, College Entrance Examinations
Swiggett, Wanda D.; Kotloff, Laurie; Ezzo, Chelsea; Adler, Rachel; Oliveri, Maria Elena – ETS Research Report Series, 2014
The computer-based "Graduate Record Examinations"® ("GRE"®) revised General Test includes interactive item types and testing environment tools (e.g., test navigation, on-screen calculator, and help). How well do test takers understand these innovations? If test takers do not understand the new item types, these innovations may…
Descriptors: College Entrance Examinations, Graduate Study, Usability, Test Items
Liu, Ou Lydia; Bridgeman, Brent; Gu, Lixiong; Xu, Jun; Kong, Nan – Educational and Psychological Measurement, 2015
Research on examinees' response changes on multiple-choice tests over the past 80 years has yielded some consistent findings, including that most examinees make score gains by changing answers. This study expands the research on response changes by focusing on a high-stakes admissions test--the Verbal Reasoning and Quantitative Reasoning measures…
Descriptors: College Entrance Examinations, High Stakes Tests, Graduate Study, Verbal Ability
Attali, Yigal – ETS Research Report Series, 2014
Previous research on calculator use in standardized assessments of quantitative ability focused on the effect of calculator availability on item difficulty and on whether test developers can predict these effects. With the introduction of an on-screen calculator on the Quantitative Reasoning measure of the "GRE"® revised General Test, it…
Descriptors: College Entrance Examinations, Graduate Study, Calculators, Test Items

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