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Peer reviewedWadsworth, Sally J.; Olson, Richard K.; Pennington, Bruce F.; DeFries, John C. – Journal of Learning Disabilities, 2000
Composite reading performance data from 223 pairs of identical twins and 169 same-gender fraternal twins in which at least one member was classified with reading disability were subjected to multiple regression analysis. Results indicated that the genetic etiology of reading disability differs as a linear function of IQ. (Contains extensive…
Descriptors: Biological Influences, Children, Disability Identification, Environmental Influences
Giroir, Elizabeth Marie Elbert – ProQuest LLC, 2009
The purpose of this study was to determine the retention rate of students who had received academic scholarships versus students who had not received academic scholarships but met the qualifications to receive the scholarships and the effects of emotional intelligence on these students. The data collection mechanisms for this study included the…
Descriptors: Stress Management, Emotional Intelligence, Academic Persistence, Doctoral Dissertations
Van Mechelen, M. C.; Verhoef, M.; Van Asbeck, F. W. A.; Post, M. W. M. – Developmental Medicine & Child Neurology, 2008
The aim of this study was to: (1) assess work participation among young adults with spina bifida, (2) identify problems perceived in finding employment, and (3) examine which determinants are related to work participation. This cross-sectional study was a follow-up study to the Adolescents with SPina bifida In the Netherlands (ASPINE) study. Data…
Descriptors: Employment, Educational Finance, Congenital Impairments, Young Adults
Schoenberg, Mike R.; Lange, Rael T.; Saklofske, Donald H.; Suarez, Mariann; Brickell, Tracey A. – Psychological Assessment, 2008
Determination of neuropsychological impairment involves contrasting obtained performances with a comparison standard, which is often an estimate of premorbid IQ. M. R. Schoenberg, R. T. Lange, T. A. Brickell, and D. H. Saklofske (2007) proposed the Child Premorbid Intelligence Estimate (CPIE) to predict premorbid Full Scale IQ (FSIQ) using the…
Descriptors: Neurological Impairments, Intelligence Quotient, Measures (Individuals), Raw Scores
Andersson, Ulf – British Journal of Educational Psychology, 2008
Background: The study was conducted in an attempt to further our understanding of how working memory contributes to written arithmetical skills in children. Aim: The aim was to pinpoint the contribution of different central executive functions and to examine the contribution of the two subcomponents of children's written arithmetical skills.…
Descriptors: Intelligence Quotient, Short Term Memory, Arithmetic, Mathematics Skills
Peer reviewedMendels, Glen E. – Journal of Educational Research, 1973
While stepwise regression analyses revealed that the demographic variables of sex, school ability, age, and father's occupation increased the power of prediction the LTIT alone was judged to be a valid predictor of academic achievement. (Author)
Descriptors: Intelligence Tests, Kindergarten Children, Predictive Validity, Predictor Variables
Peer reviewedRetherford, Robert D.; Sewell, William H. – Intelligence, 1989
Using data for 4,316 men and 4,782 women--from the 1975 Wisconsin Longitudinal Study of Social and Psychological Factors in Educational and Occupational Aspirations and Achievement--the relationship between intelligence quotient (IQ) and fertility was assessed. The effect of education on family size predicts the direction of evolution of genotypic…
Descriptors: Family Size, Intelligence Quotient, Longitudinal Studies, Path Analysis
Hedlund, Jennifer; Wilt, Jeanne M.; Nebel, Kristina L.; Ashford, Susan J.; Sternberg, Robert J. – Learning & Individual Differences, 2006
The Graduate Management Admission Test (GMAT) is the most widely used measure of managerial potential in MBA admissions. GMAT scores, although predictive of grades in business school, leave much of the variance in graduate school performance unexplained. The GMAT also produces disparities in test scores between groups, generating the potential for…
Descriptors: Graduate Study, College Entrance Examinations, Intelligence, Predictor Variables
Dimitriades, Zoe S. – Journal of European Industrial Training, 2007
Purpose: The purpose of this research is to investigate the relative importance of personal-demographic and positional factors in predicting emotional intelligence (EI) among service workers in the Greek context. Design/methodology/approach: The study involved administering Schutte et al.'s SREIT test to employees engaged in retailing, insurance,…
Descriptors: Demography, Employment Level, Predictor Variables, Emotional Intelligence
Fagan, Joseph F.; Holland, Cynthia R.; Wheeler, Karyn – Intelligence, 2007
Young adults, originally tested as infants for their ability to process information as measured by selective attention to novelty (an operational definition of visual recognition memory), were revisited. A current estimate of IQ was obtained as well as a measure of academic achievement. Information processing ability at 6-12 months was predictive…
Descriptors: Prediction, Infants, Young Adults, Intelligence Quotient
Legg, Sue M.; Ware, William B. – 1979
Student and test characteristics were examined by multiple regression analysis and discriminant function analysis to explain why 171 political science undergraduates scored differently on essay versus objective final examinations. Student characteristics included: (1) patterns of creative, crystallized, and fluid abilities as measured by the…
Descriptors: Abstract Reasoning, Academic Ability, Cognitive Ability, Creativity
Razmjoo, Seyyed Ayatollah – Reading Matrix: An International Online Journal, 2008
The intent of the present study was to examine the strength of the relationship between language proficiency in English and the 9 types of intelligences. As such, the objectives of this study were three-folded. The primary objective of the study was to investigate the relationship between multiple intelligences and language proficiency among the…
Descriptors: Correlation, Multiple Intelligences, Questionnaires, College Entrance Examinations
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Sexton, Larry C.; Lee, Mickey M. – 1989
The tetrad of subtests of the Wechsler Intelligence Scale for Children-Revised (WISC-R) that best predicts the WISC-R Full-Scale intelligence quotient (IQ) was determined for 1,589 Appalachian students referred for evaluation in grades 1-4, 5-8, and 9-10. The sample was divided into three groups. Students in grades 1 through 4 (n=655) were those…
Descriptors: Age Groups, Elementary School Students, Elementary Secondary Education, Intelligence Quotient
Peer reviewedAntonak, Richard F. – Educational Research Quarterly, 1988
Multivariate statistical analysis determined relationships between scores on the Otis-Lennon School Ability Test and the Stanford Achievement Test at grades 2, 4, and 6 for 272 students. The best predictor of achievement at a later grade was achievement at an earlier grade. Implications are discussed. (SLD)
Descriptors: Academic Achievement, Elementary Education, Elementary School Students, Grade 2

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