Measuring Metacognitive Judgments
By Gregory Schraw. 2009
134 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/48116db917dc2659e9af3007b715ea1a7a4eec09
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In Developmental and Educational Psychology
- Tamara van Gog
- J. V. van Merriënboer
- Anique B. H. de Bruin
- D. Moshman
- Kate Talsma
- Benjamin Schüz
- Kimberley Norris
- Fred Kuch
Citations in the corpus
- Miscalibration of self-efficacy and academic performance: Self-efficacy ≠ self-fulfilling prophecy (2019, methodology): “Self-efficacy bias is the signed deviation of the self- efficacy score from the academic achievement band score for each of the five performance outcomes; it is a measure of “the direction of judgement error” (see Schraw, 2009a, p. 35).”
- Activation of inaccurate prior knowledge affects primary-school students' metacognitive judgments and calibration (2013, background): “However, the measure of relative JOL accuracy shows only whether participants can discriminate between items they studied, it does not provide insight into the level of learners’ overconfidence in their commission errors (Schraw, 2009).”
- Assessing metacognitive knowledge: Development and evaluation of a test instrument (2013, unknown): “The assessment is integrated in each competence domain of the NEPS study (cf. Weinert et al., 2011) by single indicators of judgments of performance directly after the test phase (retrospective judgment/post-diction, see Nelson & Narens, 1990; Schraw, 2009).”
- Measure for Measure: Calibrating Ten Commonly Used Calibration Scores. (2013, methodology): “007 discussion of continuous measures has been made elsewhere in which individuals make judgments on a Likert or 100-point scale about performance rather than discrete judgments used in a 2 2 contingency table (Boekaerts & Rozendaal, 2010; Schraw, 2009).”
- Metacognitive Theories Revisited (2018, background): “He continued to publish on the measurement of metacognition, especially with regard to metacognitive monitoring and calibration (Schraw 2009a, b; Schraw et al. 2013).”