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Schmank, Christopher J.; Goring, Sara Anne; Kovacs, Kristof; Conway, Andrew R. A. – Journal of Intelligence, 2021
In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. Misconceptions presented by McFarland are identified and discussed. We reiterate and clarify the goal of our previous research on network…
Descriptors: Intelligence, Psychometrics, Cognitive Structures, Structural Equation Models
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
Stamovlasis, Dimitrios; Tsaparlis, Georgios – Science Education, 2012
In this study, we test an information-processing model (IPM) of problem solving in science education, namely the working memory overload model, by applying catastrophe theory. Changes in students' achievement were modeled as discontinuities within a cusp catastrophe model, where working memory capacity was implemented as asymmetry and the degree…
Descriptors: Predictor Variables, High School Students, Logical Thinking, Science Education

Crawford, J. R.; Deary, Ian J.; Allan, Katherine M.; Gustafsson, Jan-Eric – Intelligence, 1998
Confirmatory factor analysis was used to test models of the relationship between inspection time (IT) and psychometric measures of intelligence in a sample of 134 healthy adults in the United Kingdom. A nested structural equation modeling approach shows that IT is most strongly associated with the Perceptual-Organizational factor of the Wechsler…
Descriptors: Adults, Foreign Countries, Inspection, Intelligence