Measure for Measure: Calibrating Ten Commonly Used Calibration Scores.

By Gregory Schraw, Fred Kuch, Antonio P. Gutierrez. 2013

107 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/192f666e746c7de0f6e43709c493582df8d5c2fe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. T. Mujtaba
2. R. Sheldrake
3. Michael J. Reiss

In Statistics and Probability

1. D. Moshman
2. T. Mujtaba
3. R. Sheldrake
4. Michael J. Reiss

Citations in the corpus

• Students' intentions to study non-compulsory mathematics: the importance of how good you think you are (2015, methodology): “Methodologically, calibration compares selfbeliefs against an external measure, such as test results, in various ways (e.g. Boekaerts & Rozendaal, 2010; Schraw et al., 2013).”
• 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).”