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Dodonova, Yulia A.; Dodonov, Yury S. – Intelligence, 2012
The relationships between processing speed, intelligence, and school achievement were analyzed on a sample of 184 Russian 16-year-old students. Two speeded tasks required the discrimination of simple geometrical shapes and the recognition of the presented meaningless figures. Raven's Advanced Progressive Matrices and the verbal subtests of…
Descriptors: Cognitive Processes, Intelligence, Academic Achievement, Adolescents
Wicherts, Jelte M.; Bakker, Marjan – Intelligence, 2012
The authors argue that upon publication of a paper, the data should be made available through online archives or repositories. Reasons for not sharing data are discussed and contrasted with advantages of sharing, which include abiding by the scientific principle of openness, keeping the data for posterity, increasing one's impact, facilitation of…
Descriptors: Data, Publications, College Freshmen, Intelligence Tests
Peer reviewedBabcock, Renee L. – Intelligence, 2002
Data for the Raven's Advanced Progressive Matrices test from 3 large studies for a total of 818 adults show that although older adults perform like low-ability young adults when the measure of interest is the number correct, there does not seem to be an age-related difference in the type of reasoning used. (SLD)
Descriptors: Ability, Age Differences, Intelligence, Intelligence Tests
Peer reviewedVerguts, Tom; De Boeck, Paul; Maris, Eric – Intelligence, 1999
Studied the role of response fluency on results of the Raven's Advanced Progressive Matrices (APM) Test by comparing scores on a test of generation speed (speed of generating rules that govern the items) with APM test performance for 127 Belgian undergraduates. Discusses the importance of generation speed in intelligence. (SLD)
Descriptors: Foreign Countries, Higher Education, Intelligence, Intelligence Tests
Peer reviewedVernon, Philip A. – Intelligence, 1986
Ruchalla, Schalt, and Vogel (1985) reported a negative correlation between the g-loadness of intelligence subtests and the extent to which the subtests correlated with reaction times. Possible methodological problems with Ruchalla et al. are described, and results of two other studies pertinent to the issue are discussed. (Author/LMO)
Descriptors: College Students, Correlation, Higher Education, Intelligence Tests
Peer reviewedKranzler, John H.; Jensen, Arthur R. – Intelligence, 1991
This study investigated whether a unitary elemental process or several independent processes underlie psychometric "g" (factor of general intelligence). Results with 101 college students administered 2 intelligence tests and a large battery of elementary cognitive tasks suggest that as many as 4 independent components make up…
Descriptors: Cognitive Measurement, College Students, Factor Structure, Higher Education
Peer reviewedCarroll, John B. – Intelligence, 1991
Because they used an inappropriate statistical procedure, J. H. Kranzler and A. R. Jensen (1991) have not demonstrated that a factor of general intelligence ("g") depends on several independent factors. A factorial reanalysis of their data suggests that speed and efficiency of information processing are important in "g." (SLD)
Descriptors: Cognitive Measurement, College Students, Factor Analysis, Factor Structure
Peer reviewedDeShon, Richard P.; And Others – Intelligence, 1995
The verbal overshadowing paradigm was used with 167 undergraduates to determine whether performance across all items on Raven's Advanced Progressive Matrices was dependent on the same cognitive processes. Results clearly indicated that a subset of items was dependent on visuospatial processes, while another subset required verbal-analytic…
Descriptors: Cognitive Processes, Higher Education, Intelligence, Intelligence Tests

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