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Peer reviewedCasler, Lawrence – Developmental Psychology, 1976
Product-moment correlations between Stanford-Binet IQs of 151 women and the Gesell Developmental Quotients of their illegitimate children were significant when the children were approximately 2 months old and residing in institutions. After the children were adopted, the correlations dropped at first but then increased in the final tests given at…
Descriptors: Adoption, Correlation, Infants, Intelligence
Peer reviewedKlinge, Valerie; Rodziewicz, Thomas – International Journal of Man-Machine Studies, 1976
Descriptors: Adolescents, Intelligence Tests, Research, Testing
Peer reviewedWallbrown, Fred H. – Perceptual and Motor Skills, 1978
C. Shedd's hypothesis that hyperactive children would attain highest IQs on a picture vocabulary test, followed by the Wechsler Intelligence Scale for Children (WISC), and a drawing test, was confirmed in a study involving 62 overactive children (8-13 years old). (CL)
Descriptors: Children, Exceptional Child Research, Hyperactivity, Intelligence Quotient
Peer reviewedHumphreys, Lloyd G.; Parsons, Charles K. – Journal of Educational Psychology, 1977
The use of partial correlation methodology to control trait variance such as intelligence is criticized. Factor analysis is presented as the only methodology that can be used objectively and effectively with fallible measures to control trait variance. An example is presented. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Intelligence, Oblique Rotation
Peer reviewedCrano, William D. – Child Development, 1977
This investigation challenged the causal relationship implicit in the search for behavioral predictors in infancy of later intellectual ability and demonstrated the primacy of infant mental scale scores in the causation of later, more concrete physical behaviors. (Author/JMB)
Descriptors: Infant Behavior, Infants, Intelligence, Predictive Validity
Peer reviewedDinnan, James A. – Education, 1977
Contending that the Stanford Binet Intelligence Test is not based upon a sound theory of intellectual functions, this article evaluates observations of intelligence and maintains a human has a capacity unto his constructed being, unique unto himself, with a commoness relative to its species. (JC)
Descriptors: Behavior, Criteria, Evaluation, Intelligence Tests
Wood, R. – Programmed Learning and Educational Technology, 1976
Descriptors: Adaptive Testing, Bayesian Statistics, Intelligence Tests, Test Construction
Peer reviewedCarvajal, Howard; And Others – Psychology in the Schools, 1988
A kindergarten class of nine boys and 11 girls took the 1986 Stanford-Binet Intelligence Scale (Fourth Edition) and the Wechsler Preschool and Primary Scale of Intelligence. Of six correlations of total scores and subtests pairs, only the correlation of total scores was statistically significant. (Author)
Descriptors: Comparative Testing, Intelligence Tests, Kindergarten Children, Primary Education
Peer reviewedKissinger, Pat – Education Libraries, 1987
This annotated bibliography describes 12 books, 10 ERIC publications, and 7 periodical articles about artificial intelligence and robotics that were selected by the author as resources for educators. (CLB)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Educational Resources, Robotics
Peer reviewedKnuckle, Essie P.; Asbury, Charles A. – Journal of Research and Development in Education, 1986
The relationship between gender, Neuropsychological Test Performance, and specific Wechsler Intelligence Scale for Children-Revised (WISC-R) Verbal and Performance discrepancy score directions was examined with Black adolescents. Results indicated a need to use different normative data for male and female subjects on these tests. (Author/JD)
Descriptors: Adolescents, Blacks, Intelligence Tests, Sex Differences
Peer reviewedTew, Brian – British Journal of Special Education, 1986
A longitudinal study of 52 adolescents with spina bifida reveals information about their intelligence and attainments at age 16, achievement examinations, the relationship between IQ and academic achievement, and employment at 18 years. Among findings are significantly lower performance among Ss with shunts and intracranial complications. (CL)
Descriptors: Academic Achievement, Adolescents, Intelligence, Longitudinal Studies
McCloud, Barbarba K.; Nicholson, Charles L. – Diagnostique, 1983
Protocols of 327 students referred for possible special education services were examined using brief forms of the Weschler Intelligence Scale for Children-Revised. The authors concluded that brief forms of the WISC-R should be avoided; however, if a brief form is necessary, K. Hobby's split-half technique is recommended. (Author/CL)
Descriptors: Disabilities, Elementary Secondary Education, Intelligence Tests, Testing Problems
Furlong, Michael J.; Yanagida, Evelyn H. – Diagnostique, 1984
The study examined the stability of WISC-R (Wechsler Intelligence Scale for Children-Revised) Verbal-Performance (V-P) differences at the triannual reevaluation of 71 learning disabled students from Hawaii. Results revealed a slight increase of three points in the V-P differences, with a correlation of .55 between the Time 1 and Time 2 V-P…
Descriptors: Intelligence Tests, Learning Disabilities, Student Evaluation, Test Use
Peer reviewedSmith, Linda C., Comp. – Journal of the American Society for Information Science, 1984
This 19-item annotated bibliography introducing the literature of artificial intelligence (AI) is arranged by type of material--handbook, books (general interest, textbooks, collected readings), journals and newsletters, and conferences and workshops. The availability of technical reports from AI laboratories at universities and private companies…
Descriptors: Annotated Bibliographies, Artificial Intelligence, Computer Science, Information Sources
Peer reviewedHausman, Carl R. – Interchange, 1985
To be creative, an act must have as its outcome something new in the way it is intelligible and valuable. Computers have restricted contexts of information and have no ability to weigh bits of information. Computer optimists presuppose either determinism or indeterminism, either of which abandons creativity. (MT)
Descriptors: Artificial Intelligence, Computers, Creativity, Evaluative Thinking


