Calibration of metacognitive judgments: insights from the underconfidence-with-practice effect
Calibration of metacognitive judgments: insights from the underconfidence-with-practice effect
Research on calibration typically compares mean judgments-of-learning (JOLs) made on a 0- 100% scale with mean recall to determine whether there is overconfidence (JOL >recall), underconfidence (JOL<recall), or realism (JOL=recall). This research is founded on the assumption that JOLs directly reflect underlying representations of probability, which, if true, should mean that results from studies employing per cent JOL scales will generalize to other measures of subjective probability. We report four experiments that tested this assumption in the context of the underconfidence-with-practice (UWP) effect, the finding that JOLs underestimate recall on second and subsequent study-test cycles of multi-cycle paired- associate learning tasks (e.g., A. Koriat, L. Sheffer, & H. Ma?ayan, 2002). In particular, after replicating the standard UWP effect with scale JOLs in Experiment 1, we tested whether the effect would generalize to a binary JOL judgment in Experiment 2 and/or a binary betting judgment in Experiment 3. In neither experiment was the UWP effect observed. Finally, to ensure that memorial and metamemorial evidence was equated for each judgment type, each item was assigned both a scale JOL and a binary betting JOL in Experiment 4. UWP was observed for the 0-100% scale JOL, but not the binary JOL. Together, the results suggest that JOLs may not directly reflect subjective probability but rather reflect an initial yes/no decision about future recall followed by a confidence rating.
429-444
Hanczakowski, M.
6214c11e-0fd6-4c3d-a7f8-20b72e4b281d
Zawadzka, K.
b30f4b52-cfbc-4596-9069-0aa193bf7d77
Pasek, T.
e1f568d9-f395-490e-b441-86b273a3e0e2
Higham, P.A.
4093b28f-7d58-4d18-89d4-021792e418e7
October 2013
Hanczakowski, M.
6214c11e-0fd6-4c3d-a7f8-20b72e4b281d
Zawadzka, K.
b30f4b52-cfbc-4596-9069-0aa193bf7d77
Pasek, T.
e1f568d9-f395-490e-b441-86b273a3e0e2
Higham, P.A.
4093b28f-7d58-4d18-89d4-021792e418e7
Hanczakowski, M., Zawadzka, K., Pasek, T. and Higham, P.A.
(2013)
Calibration of metacognitive judgments: insights from the underconfidence-with-practice effect.
Journal of Memory and Language, 69, .
(doi:10.1016/j.jml.2013.05.003).
Abstract
Research on calibration typically compares mean judgments-of-learning (JOLs) made on a 0- 100% scale with mean recall to determine whether there is overconfidence (JOL >recall), underconfidence (JOL<recall), or realism (JOL=recall). This research is founded on the assumption that JOLs directly reflect underlying representations of probability, which, if true, should mean that results from studies employing per cent JOL scales will generalize to other measures of subjective probability. We report four experiments that tested this assumption in the context of the underconfidence-with-practice (UWP) effect, the finding that JOLs underestimate recall on second and subsequent study-test cycles of multi-cycle paired- associate learning tasks (e.g., A. Koriat, L. Sheffer, & H. Ma?ayan, 2002). In particular, after replicating the standard UWP effect with scale JOLs in Experiment 1, we tested whether the effect would generalize to a binary JOL judgment in Experiment 2 and/or a binary betting judgment in Experiment 3. In neither experiment was the UWP effect observed. Finally, to ensure that memorial and metamemorial evidence was equated for each judgment type, each item was assigned both a scale JOL and a binary betting JOL in Experiment 4. UWP was observed for the 0-100% scale JOL, but not the binary JOL. Together, the results suggest that JOLs may not directly reflect subjective probability but rather reflect an initial yes/no decision about future recall followed by a confidence rating.
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Published date: October 2013
Organisations:
Cognition
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Local EPrints ID: 352728
URI: http://eprints.soton.ac.uk/id/eprint/352728
ISSN: 0749-596X
PURE UUID: 4adb2da3-8675-4d0c-b599-cf0d0b347016
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Date deposited: 29 May 2013 09:05
Last modified: 15 Mar 2024 03:08
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Author:
M. Hanczakowski
Author:
K. Zawadzka
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T. Pasek
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