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Showing 1 to 15 of 21 results Save | Export
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Sriraman, Bharath – Roeper Review, 2017
Sternberg (2017) summarizes the history of identification of giftedness in the 20th century and presents a case for the shortcomings of measures such as IQ for problem-solving skills required in the 21st century. The Active Concerned Citizenship and Ethical Leadership (ACCEL) model is proposed to replace the outdated construct of IQ, particularly…
Descriptors: Mathematics Instruction, Thinking Skills, Mathematics Skills, Problem Solving
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Etaugh, Alfred F.; Etaugh, Claire Falk – Developmental Psychology, 1972
Authors demonstrate that a simple algebraic analysis renders previous interpretations superfluous, making overlap" a tautology and not a hypothesis. (Authors/MB)
Descriptors: Intelligence Quotient, Investigations, Mathematical Models, Measurement Techniques
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Barrett, P. T.; Eysenck, H. J. – Intelligence, 1992
An attempt to replicate the results with averaged evoked potentials (AEPs) of D. E. Hendrickson and A. E Hendrickson (1982) with 40 adults confirms a negative correlation between AEP variability and IQ. The Hendrickson paradigm is seen as no more than a well-controlled auditory evoked potential. (SLD)
Descriptors: Adults, Correlation, Intelligence, Intelligence Quotient
Vincent, William S. – IAR-Research Bulletin, 1966
This paper attempts to show that adaptation of mathematics to the input-output model of the school can provide powerful assistance in the measurement and analysis of school quality and its determinants. The mathematical relationship described here relates an educational model to the field of electronics. More specifically, the amplifier, a device…
Descriptors: Academic Achievement, Educational Quality, Electronics, Feedback
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Rindskopf, David – New Directions for Program Evaluation, 1986
Modeling the process by which participants are selected into groups, rather than adjusting for preexisting group differences, provides the basis for several new approaches to the analysis of data from nonrandomized studies. Econometric approaches, the propensity scores approach, and the relative assignment variable approach to the modeling of…
Descriptors: Effect Size, Experimental Groups, Intelligence Quotient, Mathematical Models
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Fischbach, Thomas J.; Walberg, Herbert J. – Journal of Educational Psychology, 1971
The methods used by Humphreys and Dachler to estimate effects in their analysis of Project TALENT data to test Jensen's Theory of Intelligence are shown to produce biased estimates. (Author/TA)
Descriptors: Intelligence Quotient, Mathematical Models, Racial Differences, Secondary School Students
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Karp, Laenu A. G. – Journal of Experimental Education, 1972
To reduce the cost of in-the-school experiment, this study, which is an attempt to quantify redundancy in a learning situation, was carried out using a numerical procedure. The variables include student I.Q., lesson time, wasted time, teacher experience, and redundancy. (Author/CB)
Descriptors: Classroom Communication, Intelligence Quotient, Mathematical Models, Redundancy
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Shockley, William – Review of Educational Research, 1971
Fifth article in a sequence that originated with a controversial article by Arthur R. Jensen (1969) criticized by Richard J. Light and Paul V. Smith (1969) and countercriticized by the author (1971). (SE)
Descriptors: Blacks, Genetics, Intelligence Quotient, Mathematical Models
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Light, Richard J.; Smith, Paul V. – Review of Educational Research, 1971
This is a response to Shockley (1971) which summarizes the original Light and Smith work; outlines Shockley's criticisms; responds to the statistical issues; and concludes with the methodological implications of the disagreement. (VW)
Descriptors: Blacks, Genetics, Intelligence Quotient, Mathematical Models
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Rodgers, Joseph Lee; Rowe, David C. – Intelligence, 1987
IQ scores from five kinship categories of 7- to 12-year-olds were analyzed into genetic and environmental components. The common environmental effects were larger for older children than younger children. Overall, the Genetic and Common Environment Sources each accounted for approximately 40% of the IQ variability in the data. (Author/LMO)
Descriptors: Age Differences, Elementary Education, Family Environment, Genetics
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Kadane, Joseph B.; And Others – Journal of Educational Statistics, 1976
A number of models are proposed of the effects of demographic and environmental factors on IQ and its pattern of change over time. The proposed models are concerned with the determinants of an individual's true (but unobserved) IQ and the relationship between measured and true IQ's. (Author/RC)
Descriptors: Demography, Elementary Secondary Education, Environmental Influences, Intelligence Quotient
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LaBuda, Michele C.; And Others – Intelligence, 1987
Genetic and environmental correlations among 11 Wechsler Intelligence Scale for Children-Revised (WISC-R) subtests were estimated from a sample of 143 twin pairs using the methodology of multivariate behavioral genetics. Correlations due to within-pair environmental influences were generally small, whereas those due to shared environmental…
Descriptors: Correlation, Elementary Secondary Education, Genetics, Individual Differences
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Raudenbush, Stephen W.; Bryk, Anthony S. – Journal of Educational Statistics, 1985
To facilitate meta-analysis of diverse study findings, a mixed linear model with fixed random effects is presented and illustrated with data from teacher expectancy experiments. The standardized effect size is viewed as random and the variation among effect sizes is modeled as a function of study characteristics. (Author/BS).
Descriptors: Bayesian Statistics, Educational Research, Effect Size, Hypothesis Testing
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Kranzler, John H.; Jensen, Arthur R. – Intelligence, 1989
A meta-analysis of research on the relationship between inspection time (IT) and IQ was performed. The analysis was designed to determine whether a non-zero relationship between IT and IQ exists, estimate the size of this relationship, and test whether IT is ontogenetically related to "g" (intelligence). (TJH)
Descriptors: Adults, Age Differences, Child Development, Children
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Retherford, Robert D.; Sewell, William H. – American Sociological Review, 1991
Confluence theory was developed to explain the negative effects of birth order on intelligence. Using aggregate, between-family, within-family, and paired-sibling data from the Wisconsin Longitudinal Study, tests the mathematical form of confluence theory and finds no support for it. Suggests that statistical methods used to fit the model to the…
Descriptors: Birth Order, Goodness of Fit, Intelligence Differences, Intelligence Quotient
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