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Hülür, Gizem; Gasimova, Fidan; Robitzsch, Alexander; Wilhelm, Oliver – Child Development, 2018
Intellectual engagement (IE) refers to enjoyment of intellectual activities and is proposed as causal for knowledge acquisition. The role of IE for cognitive development was examined utilizing 2-year longitudinal data from 112 ninth graders (average baseline age: 14.7 years). Higher baseline IE predicted higher baseline crystallized ability but…
Descriptors: Intellectual Experience, Learner Engagement, Cognitive Development, Longitudinal Studies
Sternberg, Robert J.; Bonney, Christina R.; Gabora, Liane; Merrifield, Maegan – Educational Psychologist, 2012
This article outlines shortcomings of currently used university admissions tests and discusses ways in which they could potentially be improved, summarizing two projects designed to enhance college and university admissions. The projects were inspired by the augmented theory of successful intelligence, according to which successful intelligence…
Descriptors: Intelligence, College Students, Grade Point Average, Prediction

Ziegler, Mark E.; Doehrman, Steven – Journal of Clinical Psychology, 1979
Analysis of correlations between Verbal and Full Scale IQ scores for 231 high-IQ psychiatric outpatients indicated that Verbal IQ appears partially valid as a WAIS short form for this higher IQ group. Results are interpreted in terms of Resnick and Entin's short form validity criteria. (Editor/SJL)
Descriptors: Classification, Correlation, Emotional Disturbances, Intelligence Differences

Molfese, Victoria J.; And Others – Merrill-Palmer Quarterly, 1997
Examined 128 children for contributions of biomedical risk conditions, SES, and HOME scores to prediction of intelligence, and association of extreme scores on HOME and SES to intelligence-test performance. Found home environment was the most important predictor of intelligence at all ages, with SES showing a smaller effect beginning at age 5.…
Descriptors: At Risk Persons, Biomedicine, Children, Family Environment

Galbraith, Richard C. – Intelligence, 1982
Zajonc and Bargh's (EJ 241 537) application of the confluence model to six national data sets is critiqued. Extreme differences in intelligence levels are predicted between nations, including substantial retardation for some populations. Moreover, the parameter values used do not allow mental growth functions which are consistent with previous…
Descriptors: Family Characteristics, Family Structure, Foreign Countries, Intellectual Development
Bond, Lloyd – New Directions for Testing and Measurement, 1981
While some forms of test bias (for example, bias in selection and prediction) appear amenable to definitional consensus, a definition of cultural bias will remain problematic so long as it is confused with the nature/nurture issue. (Author/BW)
Descriptors: Cultural Differences, Evaluation Criteria, Experimenter Characteristics, Intelligence Differences

Vandivier, Phillip L.; Vandivier, Stella Sue – Educational Forum, 1979
Discusses the most widely used individual intelligence tests: Wechsler Intelligence Scale for Children (WISC) and Stanford-Binet Intelligence Scale (Form L-M). Covers what the tests measure; psychometric or technical properties of the tests; and how test results are used. (JOW)
Descriptors: Academic Achievement, Academic Aptitude, Background, Disadvantaged Youth

Sternberg, Robert J.; Grigorenko, Elena L.; Bundy, Donald A. – Merrill-Palmer Quarterly, 2001
Reviews findings on the predictive validity of psychometric tests of intelligence. Concludes that conventional tests of intelligence can be useful but only if they are interpreted very carefully, taking into account the factors that can affect them, and in conjunction with other measures. (Author)
Descriptors: Aptitude Tests, Children, Cognitive Ability, Early Childhood Education

Miele, Frank – Intelligence, 1979
This study examines cultural bias in the Wechsler Intelligence Scale for Children. Results indicated no evidence of specific factors peculiar to Blacks v Whites, and rank order of item difficulties was similar in both groups. Race differences were due to differences in mental maturity rather than to test bias. (Author/RD)
Descriptors: Black Students, Culture Fair Tests, Disadvantaged, Elementary Education