Three-Dimensional Modeling Self-Efficacy: An Examination of Psychometric Properties of a Domain-Specific Instrument in Engineering Graphics Education
Journal for geometry and graphics, Tome 24 (2020) no. 1, pp. 125-14.

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Self-efficacy positively mediates performance, persistence, and academic outcomes, and its measures are known to have strong levels of predictive validity in educational environments. Although investigations into self-efficacy are present in engineering education, there are few studies within the sub-discipline of engineering graphics. Self-efficacy researchers are consistent in the literature that measures of the construct must be domain-specific. To date, little examination into a self-efficacy instrument specific to engineering graphics exist. This study investigates the psychometric properties of the Three-Dimensional Modeling Self-Efficacy instrument specifically developed for engineering graphics and presents the methods and findings of a psychometric investigation of that instrument using a population of 503 undergraduate students enrolled in an introductory engineering graphics course. This investigation includes reliability metrics, correlational analysis, exploratory factor analysis, and regression analysis. The Three-Dimensional Modeling Self-Efficacy instrument examined in this study was found to have strong evidence of reliability and validity, and exploratory factor analysis revealed a single factor structure underlying the instrument. The Three-Dimensional Modeling Self-Efficacy instrument also appears to have evidence of predictive validity for student final course outcomes.
Classification : 97G80
Mots-clés : Engineering graphics, self-efficacy, three-dimensional (3D) modeling, engineering education
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     author = {D. P. Kelly },
     title = {Three-Dimensional {Modeling} {Self-Efficacy:} {An} {Examination} of {Psychometric} {Properties} of a {Domain-Specific} {Instrument} in {Engineering} {Graphics} {Education}},
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D. P. Kelly . Three-Dimensional Modeling Self-Efficacy: An Examination of Psychometric Properties of a Domain-Specific Instrument in Engineering Graphics Education. Journal for geometry and graphics, Tome 24 (2020) no. 1, pp. 125-14. http://geodesic.mathdoc.fr/item/JGG_2020_24_1_JGG_2020_24_1_a9/