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Black, Ryan A.; Yang, Yanyun; Beitra, Danette; McCaffrey, Stacey – Journal of Psychoeducational Assessment, 2015
Estimation of composite reliability within a hierarchical modeling framework has recently become of particular interest given the growing recognition that the underlying assumptions of coefficient alpha are often untenable. Unfortunately, coefficient alpha remains the prominent estimate of reliability when estimating total scores from a scale with…
Descriptors: Psychological Testing, Test Reliability, Goodness of Fit, Factor Analysis
Brandmaier, Andreas M.; von Oertzen, Timo; McArdle, John J.; Lindenberger, Ulman – Psychological Methods, 2013
In the behavioral and social sciences, structural equation models (SEMs) have become widely accepted as a modeling tool for the relation between latent and observed variables. SEMs can be seen as a unification of several multivariate analysis techniques. SEM Trees combine the strengths of SEMs and the decision tree paradigm by building tree…
Descriptors: Structural Equation Models, Multivariate Analysis, Computation, Factor Analysis
Gignac, Gilles E.; Watkins, Marley W. – Multivariate Behavioral Research, 2013
Previous confirmatory factor analytic research that has examined the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) has endorsed either higher order models or oblique factor models that tend to amalgamate both general factor and index factor sources of systematic variance. An alternative model that has not yet…
Descriptors: Intelligence Tests, Test Reliability, Factor Structure, Models
Ward, L. Charles; Bergman, Maria A.; Hebert, Katina R. – Psychological Assessment, 2012
D. Wechsler (2008b) reported confirmatory factor analyses (CFAs) with standardization data (ages 16-69 years) for 10 core and 5 supplemental subtests from the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV). Analyses of the 15 subtests supported 4 hypothesized oblique factors (Verbal Comprehension, Working Memory, Perceptual Reasoning,…
Descriptors: Intelligence Tests, Models, Factor Analysis, Goodness of Fit
Bowden, Stephen C. – Journal of Psychoeducational Assessment, 2013
In surveying the literature on assessment of cognitive abilities in adults and children, it is easy to assume that the proliferation of test batteries and terminology reflects a poverty of unifying models. However, the lack of recognition accorded good models of cognitive abilities may reflect inattention to theoretical development and injudicious…
Descriptors: Intelligence Tests, Intelligence, Adults, Children
Weiss, Lawrence G.; Keith, Timothy Z.; Zhu, Jianjun; Chen, Hsinyi – Journal of Psychoeducational Assessment, 2013
This discussion article addresses issues related to expansion of the Wechsler model from four to five factors; multiple broad CHC abilities measured by the Arithmetic subtest; advantages and disadvantages of including complex tasks requiring integration of multiple broad abilities when measuring intelligence; limitations of factor analysis, which…
Descriptors: Measures (Individuals), Intelligence Tests, Brain Hemisphere Functions, Neurological Organization
Holdnack, James A.; Zhou, Xiaobin; Larrabee, Glenn J.; Millis, Scott R.; Salthouse, Timothy A. – Assessment, 2011
The Wechsler Adult Intelligence Scale-fourth edition (WAIS-IV) and the Wechsler Memory Scale-fourth edition (WMS-IV) were co-developed to be used individually or as a combined battery of tests. The independent factor structure of each of the tests has been identified; however, the combined factor structure has yet to be determined. Confirmatory…
Descriptors: Factor Structure, Measures (Individuals), Short Term Memory, Factor Analysis
Golay, Philippe; Lecerf, Thierry – Psychological Assessment, 2011
According to the most widely accepted Cattell-Horn-Carroll (CHC) model of intelligence measurement, each subtest score of the Wechsler Intelligence Scale for Adults (3rd ed.; WAIS-III) should reflect both 1st- and 2nd-order factors (i.e., 4 or 5 broad abilities and 1 general factor). To disentangle the contribution of each factor, we applied a…
Descriptors: Adults, Intelligence Tests, Measures (Individuals), Factor Analysis
Bowden, Stephen C.; Cook, Mark J.; Bardenhagen, Fiona J.; Shores, E. Arthur; Carstairs, Jane R. – Intelligence, 2004
Confirmatory factor analysis of Australian adaptations of combined Wechsler Adult Intelligence Scale-Revised (WAIS-R) and Wechsler Memory Scale-Revised (WMS-R) scores was conducted in a sample of 277 participants undergoing investigation for neurological disorders. The best-fitting model was a six-factor model representing the latent abilities of…
Descriptors: Cognitive Ability, Factor Analysis, Neurological Impairments, Measures (Individuals)
Plake, Barbara S.; And Others – 1983
A confirmatory factor analysis was used to determine the respective viability of factor structure models for the Wechsler Adult Intelligence Scale-Revised (WAIS-R) standardization data. The traditional verbal-performance split was compared to an alternative model proposed by Gutkin, Reynolds and Galvin. The confirmatory analysis indicated that the…
Descriptors: Adults, Factor Analysis, Factor Structure, Goodness of Fit