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Petrill, Stephen A.; And Others – Intelligence, 1996
Data on specific cognitive abilities for 86 children ages 6 to 12 from an allelic association study found three DNA markers significantly associated with specific cognitive ability scales after the effects of general intelligence were removed. These preliminary results support the hierarchical model predicted by genetic research. (SLD)
Descriptors: Ability, Children, Cognitive Processes, DNA

Jensen, Arthur R. – Intelligence, 2003
Examined the assumption that Spearman's law acts unsystematically and approximately uniformly for various subtests of cognitive ability in an IQ test battery when high- and low-ability IQ groups are selected. Data from national standardization samples for Wechsler adult and child IQ tests affirm regularities in Spearman's "Law of Diminishing…
Descriptors: Ability, Adults, Children, Cognitive Processes

Colom, Roberto; Abad, Francisco J.; Garcia, Luis F.; Juan-Espinosa, Manuel – Intelligence, 2002
Investigated whether average Full Scale IQ (FSIQ) differences can be attributed to "g" using the Spanish standardization sample of the Wechsler Adult Intelligence Scale III (WAIS III) (n=703 females and 666 men). Results support the conclusion that WAIS III FSIQ does not directly or exclusively measure "g" across the full range…
Descriptors: Adults, Foreign Countries, Intelligence Quotient, Intelligence Tests
Palmer, B.R.; Gignac, G.; Manocha, R.; Stough, C. – Intelligence, 2005
and discussed.There has been some debate recently over the scoring, reliability and factor structure of ability measures of emotional intelligence (EI). This study examined these three psychometric properties with the most recent ability test of EI, the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT V2.0; Mayer, Salovey, & Caruso,…
Descriptors: Scoring, Psychometrics, Intelligence Tests, Factor Structure
Vigneau, Francois; Caissie, Andre F.; Bors, Douglas A. – Intelligence, 2006
Taking into account various models and findings pertaining to the nature of analogical reasoning, this study explored quantitative and qualitative individual differences in intelligence using latency and eye-movement data. Fifty-five university students were administered 14 selected items of the Raven's Advanced Progressive Matrices test. Results…
Descriptors: Eye Movements, Intelligence, Logical Thinking, Individual Differences
Williams, Ben A.; Pearlberg, Stephen L. – Intelligence, 2006
College undergraduates learned word lists involving three-term contingencies (stimulus-response-outcome). Learning rate was correlated approximately 0.5 with scores on Raven's Advanced Progressive Matrices (Raven) but did not correlate significantly with several tasks (inspection time, card-sorting, trail-making, PASAT) shown to be associated with…
Descriptors: Undergraduate Students, Word Lists, Learning, Correlation
Dolan, Conor V.; Colom, Roberto; Abad, Francisco J.; Wicherts, Jelte M.; Hessen, David J.; van de Sluis, Sophie – Intelligence, 2006
We investigated sex effects and the effects of educational attainment (EA) on the covariance structure of the WAIS-III in a subsample of the Spanish standardization data. We fitted both first order common factor models and second order common factor models. The latter include general intelligence ("g") as a second order common factor.…
Descriptors: Educational Attainment, Gender Differences, Intelligence, Models

Jensen, Arthur R. – Intelligence, 1987
Psychometric g is by far more highly correlated with all tests conventionally called "IQ," cognitive abilities, and the like, than any other single factor or combination of other factors independent of g. Researchers must now examine the nature of psychometric g, including its causal underpinnings. (LMO)
Descriptors: Cognitive Ability, Cognitive Measurement, Intelligence Quotient, Intelligence Tests

Neisser, Ulric – Intelligence, 1979
Because no single characteristic defines intelligence, there can be no adequate process-based definition of intelligence. In principle, a combination of many empirically derived measures into a single index, as in a Binet test, would be appropriate. In practice, many of the relevant characteristics are simply impossible to measure. (Author/RD)
Descriptors: Classification, Concept Formation, Intelligence, Intelligence Differences

Skuy, Mervyn; Gewer, Anthony; Osrin, Yael; Khunou, David; Fridjhon, Peter; Rushton, J. Philippe – Intelligence, 2002
Studied whether mediated learning experience would improve the scores of African students on Raven's Standard Progressive Matrices. Seventy African and 28 non-African college students in South Africa were given the Raven's Progressive Matrices on 2 occasions, and some subjects were exposed to the mediated learning experience. Both groups improved…
Descriptors: College Students, Foreign Countries, Higher Education, Intelligence

Doppelmayr, M.; Klimesch, W.; Stadler, W.; Pollhuber, D.; Heine, C. – Intelligence, 2002
Tested whether alpha power in different sub-bands is selectively related to intelligence. For 74 Austrian subjects, the EEG was recorded during a resting session and 2 different intelligence tests were performed. Findings show a strong positive correlation between intelligence and alpha power. (SLD)
Descriptors: Adults, Correlation, Electroencephalography, Foreign Countries

Deary, Ian J.; Pagliari, Claudia – Intelligence, 1991
D. K. Detterman and M. H. Daniel's recognition (1989) that intertest correlations for intelligence quotient (IQ) might not be uniform across the range of ability (and age) was anticipated by C. E. Spearman (1904). Detterman and Daniel appear to have rediscovered Spearman's suggested law of diminishing returns. (SLD)
Descriptors: Ability, Age Differences, Correlation, Intelligence Quotient

Hutton, Una; Hudson, Richard; Wilding, John – Intelligence, 1997
This study investigated the possibility that the widely reported relationship between IQ and inspection time (IT) in children may derived from the involvement of aspects of attention. Results with 49 children aged 8 to 11 years show that IT is a significant predictor of Colored Progressive Matrices scores after age and attention measures are…
Descriptors: Age Differences, Attention, Children, Intelligence

Parker, Denis M.; Crawford, J. R.; Stephen, Edward – Intelligence, 1999
Tested 67 undergraduates on a new auditory inspection time task based on the ability to locate the left or right position of a stereophonic source and on a version of Raven's Progressive Matrices (Page and Crawford, unpublished). The new task appears to be accessible to a wider range of subjects than successive frequency discrimination tasks. (SLD)
Descriptors: Auditory Perception, Higher Education, Intelligence, Intelligence Tests

Kaufman, Alan S. – Intelligence, 2001
Examined age changes in intellectual ability in the range from 16 to 89 years through 2 studies that involved IQs on the Wechsler Adult Intelligence Scale III (WAIS-III). Results are interpreted in the context of the fluid-crystallized intelligence theory of J. Horn. Studies used WAIS-III standardization data for 2,450 adults and longitudinal data…
Descriptors: Adults, Age Differences, Intelligence Quotient, Intelligence Tests