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Canivez, Gary L.; Youngstrom, Eric A. – Applied Measurement in Education, 2019
The Cattell-Horn-Carroll (CHC) taxonomy of cognitive abilities married John Horn and Raymond Cattell's Extended Gf-Gc theory with John Carroll's Three-Stratum Theory. While there are some similarities in arrangements or classifications of tasks (observed variables) within similar broad or narrow dimensions, other salient theoretical features and…
Descriptors: Taxonomy, Cognitive Ability, Intelligence, Cognitive Tests
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

Swanson, H. Lee; And Others – Journal of Special Education, 1989
The factor structure of the Kaufman Assessment Battery for Children was evaluated with 169 gifted students, aged 6-10. Results tentatively suggested that the factor solution for gifted students is dissimilar to that for the standardization sample, as subtests designed to assess sequential processing did not all load together, nor did those…
Descriptors: Construct Validity, Elementary Education, Factor Structure, Gifted

Geiger, Marshall A.; And Others – Educational and Psychological Measurement, 1992
A factor analysis was conducted of scores on the revised Learning Style Inventory of D. A. Kolb from 718 accounting students from 2 large state universities. Results support two bipolar learning dimensions different from those theorized and only one separate learning ability. Caution in interpreting scores is advised. (SLD)
Descriptors: Accounting, Cognitive Style, College Students, Factor Analysis

Hsu, Louis M. – Multivariate Behavioral Research, 1994
Item overlap coefficient (IOC) formulas are discussed, providing six warnings about their calculation and interpretation and some explanations of why item overlap influences the Minnesota Multiphasic Personality Inventory and the Millon Clinical Multiaxial Inventory factor structures. (SLD)
Descriptors: Correlation, Definitions, Equations (Mathematics), Factor Structure

Lim, Tock Keng – Educational Psychology: An International Journal of Experimental Educational Psychology, 1996
Uses exploratory factor-analysis and confirmatory factor-analysis to identify and cross-validate the factorial structure underlying two group intelligence tests and two group-Piagetian tests. Establishes a high degree of overlap between Piagetian and psychometric intelligence tests, most likely because both types of test appear to measure…
Descriptors: Cognitive Measurement, Factor Analysis, Factor Structure, Foreign Countries
Davison, Mark L. – 1981
Academic psychology has long been composed of two disciplines, one experimental and one correlational. These two disciplines each developed their own method of studying structure in data: multidimensional scaling (MDS) and factor analysis. Both methods use similar kinds of input data, proximity measures on object pairs. Both represent the object…
Descriptors: Ability, Comparative Analysis, Correlation, Factor Analysis
Nicholson, Charles L.; Alcorn, Charles L. – 1994
The Wechsler Intelligence Scale for Children (WISC) has a long history, dating back to the 1930s, when it was devised specifically for measuring the intelligence of children through verbal and performance subtests. Intelligence quotients (IQs) are developed for verbal and performance skills. The subtests, their factors, indices derived from them,…
Descriptors: Children, Educational Diagnosis, Factor Structure, Identification
Atkinson, Leslie – 1990
Three tables are provided to aid in the clinical interpretation of factor scores for the Wechsler Adult Intelligence Scale-Revised (WAIS-R; 1981). The factor structure of the WAIS-R has proven to be robust across samples, tests, time, statistical analyses, measurement scales, and distortions of the distribution. Information necessary to make…
Descriptors: Adults, Clinical Diagnosis, Diagnostic Tests, Error of Measurement