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Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
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Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
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Flynn, James R. – Journal of Educational Measurement, 1984
Thorndike's Stanford-Binet data suggest that from 1932 to 1971-72 preschool children enjoyed greater IQ gains than older children, possibly due to the rise of television. Additional analysis indicated that gains were either due to sampling error or totally antedated 1947. Gains of 12 IQ points were found for Americans. (Author/EGS)
Descriptors: Achievement Gains, Age Differences, Intelligence Differences, Intelligence Quotient
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Kotz, Kasey M.; Watkins, Marley W.; McDermott, Paul A. – School Psychology Review, 2008
Some researchers have argued that discrepant broad index scores invalidate IQs, but others have questioned the fundamental logic of that argument. To resolve this debate, the present study used a nationally representative sample of children (N = 1,200) who were matched individually for IQ. Children with significantly uneven broad index score…
Descriptors: Validity, Scores, Measures (Individuals), Intelligence
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Macmann, Gregg M.; Barnett, David W. – Journal of Special Education, 1992
The factor structure of the Wechsler Intelligence Scale for Children (Revised) was examined in the standardization sample using new methods of factor analysis. The substantial overlap across factors was most parsimoniously represented by a single general factor. Implications for public policy regarding the purposes and outcomes of special…
Descriptors: Disabilities, Educational Policy, Elementary Secondary Education, Evaluation Methods
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Stricker, Lawrence J.; Rock, Donald A. – Developmental Psychology, 1987
Evaluated the extent to which the Graduate Record Examinations General Test measures the same constructs for older test takers that it does for younger examinees. Results suggest that the convergent validity of the test is similar across the age groups, but discriminant validity is somewhat different for older examinees. (Author/RWB)
Descriptors: Adults, Age Differences, Comparative Testing, Factor Analysis
Taylor, Ronald L.; Richards, Stephen B. – Diagnostique, 1991
A factor analysis was conducted for a sample of 200 white and Hispanic children (ages 6-11) using the Wechsler Intelligence Scale for Children-Revised. Results indicated that the two-factor solution was similar for the two groups, but there were notable differences for the three-factor solution, relative measures of "g," and subtest…
Descriptors: Elementary Education, Factor Analysis, Hispanic Americans, Intelligence Tests
Coovert, Michael D.; And Others – 1988
Arguing that sufficient theory exists about the interplay between human information processing, computer systems, and the demands of various tasks to construct useful theories of human-computer interaction, this study presents a structural model of human-computer interaction and reports the results of various statistical analyses of this model.…
Descriptors: Computers, Decision Making, Hypothesis Testing, Intelligence
Chastain, Robert L.; Joe, George W. – 1986
Multivariate methods were used to identify between-set factors relating the criterion set of eleven Wechsler Adult Intelligence Scale Revised subtest variables to the predictor set of demographic variables: age, race, sex, education, occupation, geographic region, and urban versus rural residence. Although factor analysis is usually used to…
Descriptors: Adults, Comparative Analysis, Correlation, Factor Analysis
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Yamada, Hiroyuki; Tam, Alice Yu-Wen – Journal of Creative Behavior, 1996
Torrance's longitudinal study predicting adult creative achievement was reexamined employing a multiple regression analysis. Application to 211 cases found that 4 predictors explained 49% of the total variance in adult creative achievement. They were creativity test score, childhood future career image, intelligence test score, and the existence…
Descriptors: Adults, Career Choice, Creativity, Creativity Tests
Monk, John S.; And Others – 1985
This study was conducted to determine how the pattern of learning on an abstract concept, plate tectonics, differed between groups of different cognitive levels, sex, and intelligence quotient (IQ). The intensive time-series design was used to examine the achievement of eighth grade and ninth grade earth science students. The unique characteristic…
Descriptors: Academic Achievement, Aptitude Treatment Interaction, Cognitive Processes, Cognitive Style
Anthony, Marlene C.; Etheridge, George – 1988
This study found no differences in the performance of middle class black and white children on three ability measures. The sample consisted of 15 pairs of black and white middle class children, aged 2.5 to 6.5 years, who attended the same mid-south child development center during 1987-88. Variables on which the children were match-paired were the…
Descriptors: Academic Ability, Black Students, Cognitive Ability, Early Childhood Education