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Alexander, Patricia A.; Dumas, Denis; Grossnickle, Emily M.; List, Alexandra; Firetto, Carla M. – Journal of Experimental Education, 2016
Relational reasoning is the foundational cognitive ability to discern meaningful patterns within an informational stream, but its reliable and valid measurement remains problematic. In this investigation, the measurement of relational reasoning unfolded in three stages. Stage 1 entailed the establishment of a research-based conceptualization of…
Descriptors: Cognitive Ability, Logical Thinking, Thinking Skills, Cognitive Processes
May, Alison L.; Stone, C. Addison – Journal of Postsecondary Education and Disability, 2014
In a quasi-experimental evaluation of the possible role of stereotype threat in the academic performance of college students with learning disabilities (LD), students with (N = 29) and without (N = 62) identified LD took a simulated Verbal GRE® task in one of two conditions modeled after those used in past stereotype threat (ST) research. The task…
Descriptors: Quasiexperimental Design, Stereotypes, Social Bias, Attitudes toward Disabilities
Davison, Mark L.; Semmes, Robert; Huang, Lan; Close, Catherine N. – Educational and Psychological Measurement, 2012
Data from 181 college students were used to assess whether math reasoning item response times in computerized testing can provide valid and reliable measures of a speed dimension. The alternate forms reliability of the speed dimension was .85. A two-dimensional structural equation model suggests that the speed dimension is related to the accuracy…
Descriptors: Computer Assisted Testing, Reaction Time, Reliability, Validity
Semmes, Robert; Davison, Mark L.; Close, Catherine – Applied Psychological Measurement, 2011
If numerical reasoning items are administered under time limits, will two dimensions be required to account for the responses, a numerical ability dimension and a speed dimension? A total of 182 college students answered 74 numerical reasoning items. Every item was taken with and without time limits by half the students. Three psychometric models…
Descriptors: Individual Differences, Logical Thinking, Timed Tests, College Students
Freedle, Roy O. – Harvard Educational Review, 2010
In this commentary, the author discusses two recent replications (Santelices & Wilson, 2010; Scherbaum & Goldstein, 2008) of some of his earlier work on SAT items using the differential item functioning (DIF) statistic wherein he contrasted the test performance of African American examinees with White examinees (Freedle, 2003). In this…
Descriptors: College Entrance Examinations, Test Bias, Test Items, Difficulty Level
Haberman, Shelby J.; Guo, Hongwen; Liu, Jinghua; Dorans, Neil J. – ETS Research Report Series, 2008
This study uses historical data to explore the consistency of SAT® I: Reasoning Test score conversions and to examine trends in scaled score means. During the period from April 1995 to December 2003, both Verbal (V) and Math (M) means display substantial seasonality, and a slight increasing trend for both is observed. SAT Math means increase more…
Descriptors: College Entrance Examinations, Thinking Skills, Logical Thinking, Scaling
Kobrin, Jennifer L.; Melican, Gerald J. – College Board, 2007
This report synthesizes the research to date addressing the construct comparability of the SAT Reasoning Test and prior SAT I: Reasoning Test and the series of research studies addressing the equatability and subpopulation invariance of the SAT and SAT I.
Descriptors: College Entrance Examinations, Logical Thinking, Thinking Skills, Scores
Morgan, Deanna L. – College Board, 2006
The introduction of the SAT Reasoning Test™ with a writing section in March 2005 and the concomitant elimination of the SAT® Subject Test in Writing after January 2005 have led many colleges and institutions to ask for guidance in using the new SAT Reasoning Test writing section scores for college placement and admissions. Standard-setting…
Descriptors: College Entrance Examinations, Logical Thinking, Thinking Skills, Placement
Skinner, Vincent P. – Independ Sch Bull, 1969
Descriptors: Admission Criteria, Aptitude Tests, Bias, College Admission
Laitusis, Cara Cahalan; Morgan, Deanna L.; Bridgeman, Brent; Zanna, Jennifer; Stone, Elizabeth – College Board, 2007
This study examined operational data from the SAT Reasoning Test™ to determine if students who tested under extended-time conditions were suffering from excessive fatigue relative to students who tested under standard-time conditions. Excessive fatigue was defined by significant (a) increases in differential item functioning (DIF) and (b)…
Descriptors: College Entrance Examinations, Time, Timed Tests, Fatigue (Biology)
Liu, Jinghua; Feigenbaum, Miriam; Cook, Linda – College Entrance Examination Board, 2004
This study explored possible configurations of the new SAT® critical reading section without analogy items. The item pool contained items from SAT verbal (SAT-V) sections of 14 previously administered SAT tests, calibrated using the three-parameter logistic IRT model. Multiple versions of several prototypes that do not contain analogy items were…
Descriptors: College Entrance Examinations, Critical Reading, Logical Thinking, Difficulty Level

Benbow, Camilla Persson; Stanley, Julian C. – Science, 1983
Results of seventh-grade students taking Scholastic Aptitude Test indicate that, by age 13, a large sex difference in mathematical reasoning ability exists; among students scoring greater than 700, boys outnumbered girls 13 to 1. Hypothesized factors thought to influence the difference (such as course taking, attitudes) were not supported by data…
Descriptors: Abstract Reasoning, Academically Gifted, Cognitive Ability, Environmental Influences
Everson, Howard T.; Millsap, Roger E. – College Entrance Examination Board, 2004
This paper explores the complex, hierarchical relationship among school characteristics, individual differences in academic achievement, extracurricular activities, and socioeconomic background on performance on the SAT Reasoning Test™ verbal and mathematical sections. Using multilevel structural equation models (SEMs) with latent means, data from…
Descriptors: College Entrance Examinations, Institutional Characteristics, Correlation, Individual Differences