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Korman, Maurice; And Others – Perceptual and Motor Skills, 1981
Analyses of 109 drug-abusing adolescents indicated that inhalant abusers performed significantly more poorly than polydrug abusers on 20 of 67 neuropsychological measures. Deficits were observed on both global (WAIS and WRAT) and specific measures (perception of speech sounds, visual suppression, sensory perception, and trails). (Author/SJL)
Descriptors: Adolescents, Comparative Analysis, Drug Abuse, Inhalants
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Glidden, Laraine Masters; Mar, Harvey H. – Journal of Experimental Child Psychology, 1978
Two experiments were concerned with exploring the relative accessibility and availability of category information in retarded adolescents in comparison with CA equivalent nonretarded subjects. (Author/SB)
Descriptors: Adolescents, Cognitive Processes, Comparative Analysis, Cues
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Groff, M.; Hubble, L. – Journal of Consulting and Clinical Psychology, 1982
Factor analyzed Wechsler Intelligence Scale for Children-Revised scores of low-IQ youths aged 9-11 and 14-16. Extracted Verbal Comprehension, Perceptual Organization and Freedom From Distractibility dimensions for each group. Coefficients of congruence indicated the two age groups were not similar on the Freedom From Distractibility factor.…
Descriptors: Adolescents, Age Differences, Children, Comparative Analysis
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Lynn, Richard; Longley, David – Intelligence, 2006
A number of studies in the United States have found that Jews obtain higher average IQs than white gentiles. This paper examines whether this is also the case in Britain. Three early studies are summarized that found that Jews in Britain have mean IQs in the range of 110-113. New data are presented for two nationally representative samples of 7-16…
Descriptors: Foreign Countries, Jews, Intelligence Quotient, Sampling
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Davies, Deborah; And Others – Journal of Experimental Child Psychology, 1981
Educable mentally retarded (EMR) and nonretarded (NR) adolescents verified superordinate and basic level descriptions of common objects. Results suggest that EMR subjects had difficulty making semantic classification decisions in general. Other results suggest that group differences in semantic processing speed were related to the deliberate…
Descriptors: Adolescents, Children, Classification, Cognitive Processes
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Tate, Douglass; Gibson, Gail – Social Behavior and Personality, 1980
Second generation, middle-class, Black youth and middle-class White youth completed the Stanford Binet, WISC-R, or the WAIS. Results indicated that Black youth exceeded the White sample mean on the Stanford Binet and the WISC-R. Previous intelligence differences may have reflected educational and socioeconomic differences. (Author/RC)
Descriptors: Academic Achievement, Adolescents, Black Achievement, Black Youth
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Guttman, Ruth – Educational Gerontology, 1981
Administered the Raven Progressive Matrices (RPM) to (N=408) individuals in 100 family groups. Scores on all five subtests were highest in the 18-26 age group, decreasing with age. Males scored higher on each subtest in each age group. Performance on the RPM increased with additional years of education. (Author)
Descriptors: Abstract Reasoning, Adolescents, Adults, Age Differences
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Soraci, Sal A., Jr.; And Others – Intelligence, 1990
Detection differences between 16 mildly mentally retarded and 14 nonretarded students aged about 16 years were studied via the presentation of high, intermediate, and low stimulus organizations of target and distractor stimuli. Implications for explaining intelligence-related differences across a range of tasks are discussed. (SLD)
Descriptors: Adolescents, Cognitive Ability, Cognitive Processes, Comparative Analysis
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Dykens, Elisabeth M. – American Journal on Mental Retardation, 2004
Although maladaptive and compulsive behaviors are increasingly well-described in young persons with Prader-Willi syndrome, it is unclear how these problems manifest in older adults with this syndrome. In Part I, I compared maladaptive and compulsive behaviors in 45 older adults with Prader-Willi syndrome (ages 30 to 50 years) to 195 children,…
Descriptors: Age Differences, Symptoms (Individual Disorders), Predictor Variables, Comparative Analysis