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Milkman, Roger – Journal of Educational Statistics, 1978
Sets of randomly generated numbers are used to produce simulated data sets to illustrate that high heritability of a property within each of two populations may be consistent with a vanishingly small heritability in the combined population. (A response by Jensen appears in the next issue of Journal of Educational Statistics, p.385). (CTM)
Descriptors: Analysis of Variance, Heredity, Intelligence Differences, Mathematical Models

Poortinga, Ype H.; Van Der Vijver, Fons J. R. – Journal of Cross-Cultural Psychology, 1987
Methodological tools such as analysis of variance designs can reflect bias. Difficulties in the interpretation of cross-cultural differences can be avoided only if the researcher considers all external variables which account for the variance. No variance should be left to be explained in terms of culture. (VM)
Descriptors: Analysis of Variance, Bias, Cross Cultural Studies, Cultural Differences

Getzels, J. W.; Smilansky, J. – British Journal of Educational Psychology, 1983
Content of school problems as posed by high school students, quality with which questions were formulated, and the relationship of content and quality to students' intellectual characteristics were investigated. Results reveal problem content most involved affectivity of teachers; problem formulation quality was egocentric; and content and quality…
Descriptors: Analysis of Variance, High School Students, Intelligence Differences, Literature Reviews

Denno, Deborah – Adolescence, 1982
Some specific intellectual abilities show consistent sex differences which vary in degree according to types of tests and samples examined. Reviews the empirical support for these differences, as well as the methodological difficulties, data and sampling limitations, interpretative biases, and contradictory results of much of the sex-difference…
Descriptors: Age Differences, Analysis of Variance, Intelligence Differences, Literature Reviews

Campione, Joseph C.; And Others – Intelligence, 1985
Groups of retarded and nonretarded children were investigated as they learned three rules underlying problems adapted from the Raven Progressive Matrices Test: rotation, imposition, and subtraction. Results were seen as consistent with theories that emphasize transfer flexibility as one potential source of individual and comparative differences in…
Descriptors: Analysis of Variance, Cognitive Processes, Comparative Testing, Computer Assisted Instruction