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Showing 1 to 15 of 22 results Save | Export
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Yongtian Cheng; K. V. Petrides – Educational and Psychological Measurement, 2025
Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…
Descriptors: Psychological Studies, Artificial Intelligence, Cognitive Processes, Predictive Validity
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Jacqueline M. Caemmerer; Stephanie Ruth Young; Danika Maddocks; Natalie R. Charamut; Eunice Blemahdoo – Journal of Psychoeducational Assessment, 2024
In order to make appropriate educational recommendations, psychologists must understand how cognitive test scores influence specific academic outcomes for students of different ability levels. We used data from the WISC-V and WIAT-III (N = 181) to examine which WISC-V Index scores predicted children's specific and broad academic skills and if…
Descriptors: Predictor Variables, Academic Achievement, Intelligence Tests, Children
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San Miguel Montes, Liza E.; Allen, Daniel N.; Puente, Antonio E.; Neblina, Cris – Psychological Assessment, 2010
The Wechsler Intelligence Scale for Children (WISC) is the most commonly used intelligence test for children. Five years ago, a Spanish version of the WISC-IV was published (WISC-IV Spanish; Wechsler, 2005), but a limited amount of published information is available regarding its utility when assessing clinical samples. The current study included…
Descriptors: Referral, Epilepsy, Clinical Diagnosis, Predictive Validity
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Willoughby, Michael T.; Blair, Clancy B.; Wirth, R. J.; Greenberg, Mark – Psychological Assessment, 2010
In this study, the authors examined the psychometric properties and criterion validity of a newly developed battery of tasks that were designed to assess executive function (EF) abilities in early childhood. The battery was included in the 36-month assessment of the Family Life Project (FLP), a prospective longitudinal study of 1,292 children…
Descriptors: Intelligence, Family Life, Attention Deficit Hyperactivity Disorder, Attention Deficit Disorders
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Gregory, Tess; Nettelbeck, Ted; Howard, Sara; Wilson, Carlene – Intelligence, 2008
Inspection Time (IT) is a psychophysical speed measure that has been linked to a range of cognitive abilities with results finding that shorter IT is associated with superior performance in cognitive abilities. Following a recent suggestion by Nettelbeck and Wilson [Nettelbeck, T., & Wilson, C. (2004). The Flynn effect: Smarter not faster.…
Descriptors: Predictive Validity, Cognitive Tests, Older Adults, Short Term Memory
Hunt, Earl – 1985
The scientific concept of intelligence has been heavily influenced by the technology of measurement. The variables which can be measured have been made the operational definition of intelligence. This approach differs from a deductive approach, in which a theory of cognition in general is used to derive the sorts of measurements that must be taken…
Descriptors: Cognitive Measurement, Cognitive Processes, Cognitive Tests, Individual Differences
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Lewis, Michael; Brooks-Gunn, Jeanne – Intelligence, 1981
The predictive power of various cognitive skills at three months of age in terms of later cognitive functioning was examined. Visual habituation and recovery predicted later intellectual functioning at 24 months better than global intelligence or object permanence scores. Changes in cognitive functioning may be a transformation of skills.…
Descriptors: Attention Control, Cognitive Processes, Correlation, Infants
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Sternberg, Robert J. – Intelligence, 1981
The results of studies regarding intelligence in infancy are reviewed, and are compatible with Sternberg's findings on intelligence in adulthood. It is suggested that a major aspect of intelligence--attitude toward and performance with novel kinds of concepts--is continuous in nature throughout the life span, but requires different measurement…
Descriptors: Cognitive Processes, Concept Formation, Creative Thinking, Infants
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Libb, J. Wesley; Coleman, John M. – Psychological Reports, 1971
Descriptors: Cognitive Processes, Comparative Testing, Intelligence, Measurement Instruments
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Luo, Dasen; Thompson, Lee A.; Detterman, Douglas K. – Intelligence, 2006
The present study evaluated the criterion validity of the aggregated tasks of basic cognitive processes (TBCP). In age groups from 6 to 19 of the Woodcock-Johnson III Cognitive Abilities and Achievement Tests normative sample, the aggregated TBCP, i.e., the processing speed and working memory clusters, correlate with measures of scholastic…
Descriptors: Psychometrics, Structural Equation Models, Predictive Validity, Intelligence
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Fine, Bernard J. – Perceptual and Motor Skills, 1972
Descriptors: Anxiety, Cognitive Processes, Individual Differences, Intelligence
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Shore, Ceclia; And Others – Perceptual and Motor Skills, 1971
Descriptors: Ability, Adults, Cognitive Processes, Comparative Testing
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Townes, B. D.; And Others – Journal of Consulting and Clinical Psychology, 1980
Significant differences were found between younger and older children on most neuropsychological tests. Girls were found to be superior to boys in verbal reasoning, language skills, and serial perceptual matching skills, whereas boys were superior on tests of spatial memory and motor skills. (Author)
Descriptors: Academic Achievement, Age Differences, Cognitive Processes, Elementary Education
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Scott, Marcia S.; And Others – Intelligence, 1986
This study evaluated the diagnostic validity of a task measuring abstract categorization ability in learning disabled (LD) and non-LD children. Data showed that the component of abstract category knowledge that best disciminates LD children from non-LD, is the knowledge of how members of abstract categories differ from each other. (Author/JAZ)
Descriptors: Abstract Reasoning, Classification, Cognitive Processes, Comparative Testing
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Otero, Jose; Graesser, Arthur C. – Cognition and Instruction, 2001
Evaluated the PREG conceptual model of human question asking. Found the model was sufficient as it accounted for nearly all of the questions produced by students, and was discriminating in that it could identify the conditions in which particular classes of questions are or are not generated. (Author/SD)
Descriptors: Artificial Intelligence, Cognitive Development, Cognitive Processes, Expository Writing
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