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Sudina, Ekaterina; Brown, Jason; Datzman, Brien; Oki, Yukiko; Song, Katherine; Cavanaugh, Robert; Thiruchelvam, Bala; Plonsky, Luke – Innovation in Language Learning and Teaching, 2021
'Grit' has been identified as an important predictor of success in a number of academic and non-academic domains (Duckworth, A. L., C. Peterson, M. D. Matthews, and D. R. Kelly. 2007. "Grit: Perseverance and Passion for Long-Term Goals." "Journal of Personality and Social Psychology" 92: 1087-1101.…
Descriptors: Measures (Individuals), Factor Analysis, Second Language Learning, Second Language Instruction
Collaço, Christine M. – ProQuest LLC, 2018
The primary purpose of this study was to collect evidence on the construct validity of grit using convergent, discriminant, and predictive validity principles. To accomplish this purpose and extend previous research on grit, college students from two schools completed an instrument comprised of a cognitive ability test, and a questionnaire. The…
Descriptors: College Students, Academic Persistence, Construct Validity, Predictive Validity
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Hanauer, David I.; Graham, Mark J.; Hatfull, Graham F. – CBE - Life Sciences Education, 2016
Curricular changes that promote undergraduate persistence in science, technology, engineering, and mathematics (STEM) disciplines are likely associated with particular student psychological outcomes, and tools are needed that effectively assess these developments. Here, we describe the theoretical basis, psychometric properties, and predictive…
Descriptors: College Students, Academic Persistence, Psychometrics, Predictive Validity
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Bowman, Nicholas A.; Denson, Nida – Research in Higher Education, 2014
According to prevailing theory and anecdotal evidence, the congruence between institutional attributes and students' needs, interests, and preferences plays a key role in promoting college satisfaction and retention. However, this assertion has received little direct empirical attention, and the few available studies appear to have some key…
Descriptors: Intention, Academic Persistence, Factor Structure, Predictive Validity
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Kim, Eunhee; Newton, Fred B.; Downey, Ronald G.; Benton, Stephen L. – College Student Journal, 2010
The College Learning Effectiveness Inventory, a new assessment tool identifying personal variables important to college student success, was constructed using empirical approaches grounded in a conceptual model. The exploratory and confirmatory studies revealed the six-underlying factors: Academic Self-Efficacy, Organization and Attention to…
Descriptors: Undergraduate Students, Self Efficacy, Predictive Validity, Cognitive Style
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Roblyer, M. D.; Davis, Lloyd – Online Journal of Distance Learning Administration, 2008
Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…
Descriptors: Prediction, Predictor Variables, Success, Virtual Classrooms