We have located links that may give you full text access.
A framework for executive function in the late elementary years.
Neuropsychology 2018 Februrary
OBJECTIVE: Executive function (EF) is a commonly used but difficult to operationalize construct. In this study, we considered EF and related components as they are commonly presented in the neuropsychological literature, as well as the literatures of developmental, educational, and cognitive psychology. These components have not previously been examined simultaneously, particularly with this level of comprehensiveness, and/or at this age range or with this sample size. We expected that the EF components would be separate but related, and that a bifactor model would best represent the data relative to alternative models.
METHOD: We assessed EF with 27 measures in a large sample (N = 846) of late elementary school-age children, many of whom were struggling in reading, and who were demographically diverse. We tested structural models of EF, from unitary models to methodological models, utilizing model-comparison factor analytic techniques. We examined both a common factor as well as a bifactor structure.
RESULTS: Initial models showed strong overlap among several latent EF variables. The final model was a bifactor model with a common EF, and five specific EF factors (working memory-span/manipulation and planning; working memory-updating; generative fluency, self-regulated learning; metacognition).
CONCLUSIONS: Results speak to the commonality and potential separability of EF. These results are discussed in light of prevailing models of EF and how EF might be used for structure/description, prediction, and for identifying its mechanism for relevant outcomes. (PsycINFO Database Record
METHOD: We assessed EF with 27 measures in a large sample (N = 846) of late elementary school-age children, many of whom were struggling in reading, and who were demographically diverse. We tested structural models of EF, from unitary models to methodological models, utilizing model-comparison factor analytic techniques. We examined both a common factor as well as a bifactor structure.
RESULTS: Initial models showed strong overlap among several latent EF variables. The final model was a bifactor model with a common EF, and five specific EF factors (working memory-span/manipulation and planning; working memory-updating; generative fluency, self-regulated learning; metacognition).
CONCLUSIONS: Results speak to the commonality and potential separability of EF. These results are discussed in light of prevailing models of EF and how EF might be used for structure/description, prediction, and for identifying its mechanism for relevant outcomes. (PsycINFO Database Record
Full text links
Related Resources
Trending Papers
Challenges in Septic Shock: From New Hemodynamics to Blood Purification Therapies.Journal of Personalized Medicine 2024 Februrary 4
Molecular Targets of Novel Therapeutics for Diabetic Kidney Disease: A New Era of Nephroprotection.International Journal of Molecular Sciences 2024 April 4
The 'Ten Commandments' for the 2023 European Society of Cardiology guidelines for the management of endocarditis.European Heart Journal 2024 April 18
A Guide to the Use of Vasopressors and Inotropes for Patients in Shock.Journal of Intensive Care Medicine 2024 April 14
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app