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Canivez, Gary L.; Kush, Joseph C. – Journal of Psychoeducational Assessment, 2013
Weiss, Keith, Zhu, and Chen (2013a) and Weiss, Keith, Zhu, and Chen (2013b), this issue, report examinations of the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) and Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV), respectively; comparing Wechsler Hierarchical Model (W-HM) and…
Descriptors: Intelligence Tests, Factor Structure, Comparative Analysis, Arithmetic

Prediger, Dale J. – Journal of Counseling Psychology, 1984
Focuses on anomalies in the O'Neil (1980) data on the factor structure of the Career Factor Checklist. Charges that critical errors compromise the conclusions regarding CFC valididty, and notes errors in analyses based on CFC scores. (JAC)
Descriptors: Factor Structure, Position Papers, Research Problems, Test Validity

Kleban, Morton H. – 1983
The paper is a critique of the traditional mode of interpreting factor analyses; it is not a criticism of factor analysis per se. Instead, the author proposes a statistical procedure based upon stepwise regression (SRP). The traditional mode focuses on the largest factor loadings (FL). A factor is both described and named by these heavily weighted…
Descriptors: Correlation, Factor Analysis, Factor Structure, Multidimensional Scaling

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

Humphreys, Lloyd G. – Intelligence, 1985
The author responds to criticisms made by Jensen pertaining to tests of the Spearman hypothesis. The near-zero correlation between Blacks and low socio-economic status Whites is neither an artifact of methodology nor a sampling fluke. Low and high SES White differences are highly correlated with general factor loadings. (LMO)
Descriptors: Blacks, Cognitive Ability, Cognitive Measurement, Cognitive Tests