2021
DOI: 10.1016/j.learninstruc.2021.101466
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At a first glance – How reliable and valid is the thin slices technique to assess instructional quality?

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Cited by 7 publications
(15 citation statements)
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“…Multilevel confirmatory factor analysis confirmed the theoretically expected three factors, indicating that the raters were able to distinguish between different aspects of instructional quality (Begrich et al, 2021). Thin slices ratings and the ratings given by trained raters based on the full-length classroom videos correlated significantly (r up to 0.52), indicating evidence of convergent validity (Begrich et al, 2021). Further, thin slices ratings predicted how much students learned from different teachers, even when students' prerequisites were controlled (Begrich et al, 2020).…”
Section: The Thin Slices Techniquementioning
confidence: 63%
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“…Multilevel confirmatory factor analysis confirmed the theoretically expected three factors, indicating that the raters were able to distinguish between different aspects of instructional quality (Begrich et al, 2021). Thin slices ratings and the ratings given by trained raters based on the full-length classroom videos correlated significantly (r up to 0.52), indicating evidence of convergent validity (Begrich et al, 2021). Further, thin slices ratings predicted how much students learned from different teachers, even when students' prerequisites were controlled (Begrich et al, 2020).…”
Section: The Thin Slices Techniquementioning
confidence: 63%
“…In all studies, interrater reliability was good or even excellent, with intraclass correlation coefficients reaching up to 0.98 (Begrich et al, 2020). Multilevel confirmatory factor analysis confirmed the theoretically expected three factors, indicating that the raters were able to distinguish between different aspects of instructional quality (Begrich et al, 2021). Thin slices ratings and the ratings given by trained raters based on the full-length classroom videos correlated significantly (r up to 0.52), indicating evidence of convergent validity (Begrich et al, 2021).…”
Section: The Thin Slices Techniquementioning
confidence: 67%
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