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The measurement of calibration in real contexts

Learning and Instruction Volume 47, Number 1, ISSN 0959-4752 Publisher: Elsevier Ltd


Accurate judgment of performance, or calibration, is an important element of self-regulated learning (SRL) and itself has been an area of growing study. The current study contributes to work on calibration by presenting practical and predictive results of varying calibration measures from authentic educational data: elementary-aged students' interactions with a year-long digital mathematics curriculum. Comparison of predictive validity of measures show only small differences in explained variance in models predicting posttest performance while controlling for pretest. A combined model including Sensitivity and Specificity outperforms other single measures, confirming results in Schraw, Kuch, & Gutierrez (2013); however, results show that student patterns of calibration within these data differ from those assumed in simulation studies and these differences have implications for the calculability of popular calibration measures.


Rutherford, T. (2017). The measurement of calibration in real contexts. Learning and Instruction, 47(1), 33-42. Elsevier Ltd. Retrieved January 29, 2020 from .

This record was imported from Learning and Instruction on January 29, 2019. Learning and Instruction is a publication of Elsevier.

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