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Jensen, Arthur R. – Intelligence, 1987
Psychometric g is by far more highly correlated with all tests conventionally called "IQ," cognitive abilities, and the like, than any other single factor or combination of other factors independent of g. Researchers must now examine the nature of psychometric g, including its causal underpinnings. (LMO)
Descriptors: Cognitive Ability, Cognitive Measurement, Intelligence Quotient, Intelligence Tests

Jensen, Arthur R. – Journal of Vocational Behavior, 1986
Addresses the theoretically important question of whether g is merely an artifact of the method of constructing psychometric tests and the mathematical operations of factor analysis or whether it has an authentic claim to represent some natural phenomenon that exists independently of psychometrics and factor analysis. (Author/ABB)
Descriptors: Cognitive Measurement, Construct Validity, Factor Analysis, Individual Differences
Jensen, Arthur R. – 1980
The first eight chapters of this book introduce the topic of test bias. The basic issues involved in criticisms of mental tests and arguments about test bias include: (1) variety of tests and test items; (2) scaling of scores and the form of the distribution of abilities in the population; (3) quantification of subpopulation differences; (4)…
Descriptors: Achievement Tests, Aptitude Tests, Cognitive Measurement, Intelligence Tests
Jensen, Arthur R. – The Mental Retardation Learning Disability Bulletin, 1987
Chronometric methods of cognitive assessment of learning disabled students which measure speed of response to elementary cognitive tasks requiring minimal prior knowledge are discussed. Chronometric techniques known to correlate with IQ and other indexes of mental efficiency and scholastic proficiency are described. (Author/DB)
Descriptors: Cognitive Measurement, Cognitive Processes, Culture Fair Tests, Elementary Secondary Education

Kranzler, John H.; Jensen, Arthur R. – Intelligence, 1991
This study investigated whether a unitary elemental process or several independent processes underlie psychometric "g" (factor of general intelligence). Results with 101 college students administered 2 intelligence tests and a large battery of elementary cognitive tasks suggest that as many as 4 independent components make up…
Descriptors: Cognitive Measurement, College Students, Factor Structure, Higher Education

Kranzler, John H.; Jensen, Arthur R. – Intelligence, 1991
The hypothetical idea of a perfectly pure psychometric "g" is empirically unattainable. Because the unity of "g" cannot be proved or disproved by factor analysis, the unitary "g" hypothesis represents a parsimonious assumption. J. B. Carroll's (1991) analysis demonstrates the relationship between psychometric and…
Descriptors: Cognitive Measurement, College Students, Factor Analysis, Factor Structure

Jensen, Arthur R. – Intelligence, 1985
Borkowski and Krause (1983) concluded that the locus of black-white intelligence differences lies in metaprocesses not elementary cognitive processes. However, some variables were difference scores with unacceptably low reliability. Magnitude comparisons of racial differences give a different picture of results; comparable differences in measures…
Descriptors: Black Students, Cognitive Measurement, Cognitive Processes, Correlation

Jensen, Arthur R. – Intelligence, 1985
The author refutes Humphrey's test of the Spearman hypothesis. A fair test requires that Black and White samples not be selected on any g-correlated variable, including socioeconomic status. Humphrey's factor analysis on test-score means of demographic groups, rather than on individuals, inflates g loadings and biases results. (LMO)
Descriptors: Blacks, Cognitive Ability, Cognitive Measurement, Cognitive Tests
Jensen, Arthur R. – 1979
The uses of data on siblings for educational and psychological research purposes are explained. Examples are based on empirical data. Five types of research problems, using sibling data, are explored: (1) statistical control of family background variance in psychological or educational studies which use analysis of covariance (ANCOVA) or multiple…
Descriptors: Age Differences, Analysis of Covariance, Cognitive Measurement, Correlation