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McFarland, Dennis – Journal of Intelligence, 2020
Network models of the WAIS-IV based on regularized partial correlation matrices have been reported to outperform latent variable models based on uncorrected correlation matrices. The present study sought to compare network and latent variable models using both partial and uncorrected correlation matrices with both types of models. The results show…
Descriptors: Correlation, Matrices, Adults, Intelligence Tests
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Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation
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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
McKoon, Gai; Ratcliff, Roger – Grantee Submission, 2016
Millions of adults in the United States lack the necessary literacy skills for most living wage jobs. For students from adult learning classes, we used a lexical decision task to measure their knowledge of words and we used a decision-making model (Ratcliff's, 1978, diffusion model) to abstract the mechanisms underlying their performance from…
Descriptors: Reading Skills, Psycholinguistics, Memory, Decision Making
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Molenaar, Dylan; Dolan, Conor V.; van der Maas, Han L. J. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
In this article we present factor models to test for ability differentiation. Ability differentiation predicts that the size of IQ subtest correlations decreases as a function of the general intelligence factor. In the Schmid-Leiman decomposition of the second-order factor model, we model differentiation by introducing heteroscedastic residuals,…
Descriptors: Factor Structure, Models, Intelligence Quotient, Correlation
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Guo, Jiesi; Marsh, Herbert W.; Morin, Alexandre J. S.; Parker, Philip D.; Kaur, Gurvinder – American Educational Research Journal, 2015
(This study examines the directionality of the associations among cognitive assets (IQ, academic achievement), motivational beliefs (academic self-concept, task values), and educational and occupational aspirations over time from late adolescence (Grade 10) into early adulthood (5 years post high school). Participants were from a nationally…
Descriptors: Longitudinal Studies, Academic Achievement, Educational Attainment, Academic Aspiration
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Barrett, P.; And Others – Intelligence, 1986
Two samples of adult subjects of reasonably average intelligence were given IQ tests and a series of reaction time tests using 0, 1, 2, and 3 lists of information in a Hick paradigm. (Author/LMO)
Descriptors: Adults, Analysis of Variance, Correlation, Intelligence Quotient
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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)