Reconceptualizing Executive Functions: A Taxometric and Network Approach

dc.contributor.authorWong, Ryan
dc.contributor.supervisorGarcia-Barrera, Mauricio A.
dc.date.accessioned2023-04-26T17:24:02Z
dc.date.copyright2023en_US
dc.date.issued2023-04-26
dc.degree.departmentDepartment of Psychologyen_US
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractExecutive function is a neuropsychological construct that describe a collection of cognitive processes that aid in complex, goal-directed behaviours. In two manuscripts, the underlying assumption of dimensionality in latent variable methods is examined and an alternative conceptual model is discussed. The first manuscript uses two large demographically matched samples to assess the latent structure of two commonly studied executive functions, inhibition and set shifting, using taxometric methods. This study demonstrated latent dimensionality for inhibition and set shifting in both performance-based and behavioural rating measures, providing empirical support for the widespread usage of latent variable methods in typically developing populations across the lifespan. The second manuscript uses the same samples as the first to provide an alternative to latent variable methods when modelling executive functions. Network models were produced using the same data and results are discussed in the context of improvements in theory and clinical utility. Taken together, these manuscripts provide additional impetus for the importance of having strong theoretical reasons for performing specific analyses in executive function research.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/14977
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjecttaxometricsen_US
dc.subjectnetwork modelsen_US
dc.subjectexecutive functionsen_US
dc.titleReconceptualizing Executive Functions: A Taxometric and Network Approachen_US
dc.typeThesisen_US

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