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Peer reviewedAxelrod, Bradley N.; And Others – Psychological Assessment, 1996
The calculations of D. Schretlen, R. H. B. Benedict, and J. H. Bobholz for the reliabilities of a short form of the Wechsler Adult Intelligence Scale--Revised (WAIS-R) (1994) consistently overestimated the values. More accurate values are provided for the WAIS--R and a seven-subtest short form. (SLD)
Descriptors: Error Correction, Error of Measurement, Estimation (Mathematics), Intelligence Tests
Peer reviewedFrancis, David J.; And Others – Journal of Educational Psychology, 1996
Individual growth curves were used to test whether the development of children with reading disabilities is best characterized by models of developmental lag or developmental deficit. Results with 403 children suggest that the developmental course of reading disabilities is best characterized by deficit models. (SLD)
Descriptors: Age Differences, Child Development, Children, Individual Differences
Peer reviewedSmith, Chris D.; Wright, Lindsay – Journal of Creative Behavior, 2000
In the first study of the term "genius", 349 undergraduates nominated three geniuses in 1984, 1991, 1993, 1994, and 1997. Einstein was regarded as a stereotypical genius, while other nominees were subjective and transitory. In the second study, nominated geniuses were agreed to on only 26.2 percent of possible occasions. (Contains…
Descriptors: Ability Identification, Adults, College Students, Gifted
Peer reviewedWatkins, Marley W.; Worrell, Frank C. – Psychology in the Schools, 2000
Examines the diagnostic utility of subtest variability for identifying students with learning disabilities (LD) by surveying students (n=2,200) in a normative sample and students (n=684) identified as LD. Results indicated that LD students did not differ from normative sample students at levels above chance. Concludes that deviation of individual…
Descriptors: Academic Ability, Early Identification, Elementary School Students, Intelligence Tests
Peer reviewedVincent, Annette; Ross, Dianne – Learning Organization, 2001
Describes multiple intelligences, personality types, and learning styles. Identifies online instruments for identifying them. Gives strategies for teaching each type. (Contains 26 references.) (SK)
Descriptors: Cognitive Style, Computer Assisted Testing, Educational Strategies, Individualized Instruction
Peer reviewedWatkins, Marley W. – School Psychology Quarterly, 2000
Reviews the results of four studies included in this issue of "School Psychology Quarterly" which found all four cognitive profile reports lacking reliability, validity, or diagnostic utility. Argues that ipsative methods are inferior to normative methods in cognitive assessment. Recommends that psychologists eschew the application of…
Descriptors: Clinical Diagnosis, Cognitive Measurement, Intelligence Tests, Profiles
Gross, Miraca U. M. – Understanding Our Gifted, 2000
This article discusses the early works of DeHaan and Havighurst in gifted education and their emphasis that giftedness is multifaceted and could be in different domains, including: intellectual ability, creative thinking, scientific ability, social leadership, mechanical skills, or in talent in the fine arts. (Contains five references.) (CR)
Descriptors: Ability Identification, Adolescents, Adults, Children
Peer reviewedGagne, Francoys; St. Pere, Francois – Intelligence, 2002
Studied the unique contribution of motivation to academic achievement after controlling for the predictive power of cognitive abilities. Results for more than 200 female high school students and their parents and teachers show that IQ and motivation are not correlated, that parents' and ratings were not closely related to the children's own…
Descriptors: Academic Achievement, Cognitive Ability, Correlation, Females
Peer reviewedGonzalez, Julie M. Byers; DesJardins, Stephen L. – Research in Higher Education, 2002
Applied the technique of artificial neural networks to predict which students were likely to apply to one research university. Compared the results to the traditional analysis tool, logistic regression modeling. Found that the addition of artificial intelligence models was a useful new tool for predicting student application behavior. (EV)
Descriptors: Artificial Intelligence, College Applicants, College Choice, Comparative Analysis
Peer reviewedTharpe, Anne Marie; Ashmead, Daniel H.; Rothpletz, Ann M. – Journal of Speech, Language, and Hearing Research, 2002
This study compared visual attention in 18 prelingually deaf children (half with cochlear implants and half with hearing aids) and 10 normal hearing children. Unlike previous studies, children in all three groups performed similarly on a continuous-performance visual attention task and on a letter cancellation task. Only age and nonverbal…
Descriptors: Age Differences, Attention Control, Children, Cochlear Implants
Walker, Adrian – D-Lib Magazine, 1998
Discusses the Internet Knowledge Manager (IKM) which provides an understandable way of representing knowledge, as readable software agents. Gives an example of writing and running an IKM agent for transfer pricing in corporations. Describes how the technology works. Concludes that the IKM could trigger new ways of performing knowledge management,…
Descriptors: Artificial Intelligence, Business, Computer Software Development, Electronic Libraries
Peer reviewedHertzog, Christopher; Bleckley, M. Kathryn – Intelligence, 2001
Administered a battery of psychometric ability tests to 211 undergraduates and 622 other adults ranging in age from 43 to 78. Findings were consistent with the view that speed of information processing can be an important correlate of individual differences in rates of intellectual aging and a performance-specific confound that distorts estimates…
Descriptors: Adults, Age Differences, Cognitive Processes, Cognitive Tests
Peer reviewedEvans, Larry D. – Psychology in the Schools, 2001
Examined students in foster care for the relationship between learning and extrascholastic environments. Obtained achievement and intelligence scores for children (N=3,483) during the first months of foster care placement. Results showed average to low-average mean achievement and IQ, with academic deficits in basic skill areas. Results support…
Descriptors: Academic Achievement, Environmental Influences, Foster Care, Foster Children
Peer reviewedGeher, Glenn; Warner, Rebecca M.; Brown, Andrew S. – Intelligence, 2001
Assessed the predictive validity of the Emotional Accuracy Research Scale (EARS) (J. Mayer and G. Geher, 1996), a performance measure of emotional intelligence, with 40 undergraduate students. Results support the predictive validity of the EARS as a measure of emotional intelligence. (SLD)
Descriptors: Emotional Intelligence, Emotional Response, Higher Education, Measures (Individuals)
Peer reviewedVan Rooy, C.; Stough, C.; Pipingas, A.; Hocking, C.; Silberstein, R. B. – Intelligence, 2001
Used steady-state probe topography to investigate the cortical activity of 12 average and 12 high IQ Australian college students during a spatial working memory task. Results, in terms of changes in visual evoked potentials, suggest that the areas of the brain involved in working memory are influenced by individual differences in intelligence.…
Descriptors: Biological Influences, Brain, College Students, Correlation


