2020
DOI: 10.1016/j.cedpsych.2020.101875
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Revisiting the dimensionality of subjective task value: Towards clarification of competing perspectives

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Cited by 35 publications
(66 citation statements)
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“…In order to assess value for college STEM majors, we adapted items by Perez et al (2014), which were originally developed by Eccles and Wigfield (1995). Representation of task value using these items has been revisited in recent methodological work (Part et al, 2020; Appendix). Four items were assigned to each value: (a) attainment value (e.g., “Is the amount of effort it will take to do well in your STEM courses worthwhile to you?”); (b) intrinsic value (e.g., “The concepts and principles taught in my STEM courses are interesting”); and (c) utility value (e.g., “How useful are your STEM courses for what you want to do after you graduate and go to work?”).…”
Section: Methodsmentioning
confidence: 99%
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“…In order to assess value for college STEM majors, we adapted items by Perez et al (2014), which were originally developed by Eccles and Wigfield (1995). Representation of task value using these items has been revisited in recent methodological work (Part et al, 2020; Appendix). Four items were assigned to each value: (a) attainment value (e.g., “Is the amount of effort it will take to do well in your STEM courses worthwhile to you?”); (b) intrinsic value (e.g., “The concepts and principles taught in my STEM courses are interesting”); and (c) utility value (e.g., “How useful are your STEM courses for what you want to do after you graduate and go to work?”).…”
Section: Methodsmentioning
confidence: 99%
“…More recent studies on the nature of cost have largely confirmed negative associations between costs and academic performance, intention to leave a major, and interest (e.g., Flake et al, 2015; Gaspard et al, 2018; Part et al, 2020; Perez et al, 2014). Among students enrolled in a chemistry course, Perez et al (2014) examined how competency belief and task values predict chemistry performance and intentions to leave STEM over time by collecting four waves of data.…”
Section: Introductionmentioning
confidence: 99%
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“…Contingent on the acceptable fit of the B-ESEM model in each sample, the invariance of the ETS data was examined. These multiple-group invariance tests were conducted per Millsap and Yun-Tein's (2004) taxonomy of invariance tests for models based on ordinal data adapted for ESEM and bifactor extensions (see, e.g., Part, Perera, Marchand, & Bernacki, 2020;Perera et al, 2015). This involves the additive and sequential testing of configural invariance and the invariance of item loadings, thresholds, 4 uniquenesses, factor variances-covariances, and factor means (Perera et al, 2015).…”
Section: Statistical Analysesmentioning
confidence: 99%