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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
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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
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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
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Meléndez, Juan C.; Alfonso-Benlliure, Vicente; Mayordomo, Teresa; Sales, Alicia – Creativity Research Journal, 2016
The purpose of the study was to test a model of causal relationships among cognitive reserve (CR), personality variables such as Neuroticism and Openness to experience, and divergent thinking (DT), independently evaluating performance in different domains (verbal and graphic). It was hypothesized that CR, Openness, and Neuroticism would each…
Descriptors: Creative Thinking, Older Adults, Predictor Variables, Causal Models
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Ritchie, Stuart J.; Bates, Timothy C.; Deary, Ian J. – Developmental Psychology, 2015
Previous research has indicated that education influences cognitive development, but it is unclear what, precisely, is being improved. Here, we tested whether education is associated with cognitive test score improvements via domain-general effects on general cognitive ability ("g"), or via domain-specific effects on particular cognitive…
Descriptors: Cognitive Ability, Cognitive Development, Outcomes of Education, Cognitive Tests
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East, Patricia; Lozoff, Betsy; Blanco, Estela; Delker, Erin; Delva, Jorge; Encina, Pamela; Gahagan, Sheila – Developmental Psychology, 2017
Children who are iron deficient (ID) or iron-deficient anemic (IDA) have been shown to seek and receive less stimulation from their caregivers, contributing to "functional isolation". Over time, the reduced interactions between child and caregiver are thought to interfere with the acquisition of normative social competencies and…
Descriptors: Nutrition, Child Health, Affective Behavior, Mothers
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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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Vainikainen, Mari-Pauliina; Wüstenberg, Sascha; Kupiainen, Sirkku; Hotulainen, Risto; Hautamäki, Jarkko – International Journal of Lifelong Education, 2015
In Finland, schools' effectiveness in fostering the development of transversal skills is evaluated through large-scale learning to learn (LTL) assessments. This article presents how LTL skills--general cognitive competences and learning-related motivational beliefs--develop during primary school and how they predict pupils' CPS skills at the end…
Descriptors: Foreign Countries, Elementary School Students, Learning Strategies, Skill Development
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Coyle, Thomas R.; Pillow, David R. – Intelligence, 2008
This research examined whether the SAT and ACT would predict college grade point average (GPA) after removing g from the tests. SAT and ACT scores and freshman GPAs were obtained from a university sample (N=161) and the 1997 National Longitudinal Study of Youth (N=8984). Structural equation modeling was used to examine relationships among g, GPA,…
Descriptors: Intelligence, Grade Point Average, Structural Equation Models, Predictive Validity
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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
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Burton, D. Bradley; And Others – Psychological Assessment, 1994
A maximum-likelihood confirmatory factor analysis was performed by applying LISREL VII to the Wechsler Adult Intelligence Scale-Revised results of a normal elderly sample of 225 adults. Results indicate that a three-factor model fits best across all sample combinations. A mild gender effect is discussed. (SLD)
Descriptors: Factor Structure, Intelligence Tests, Maximum Likelihood Statistics, Older Adults