TY - JOUR
T1 - Parsimonious estimation of signal detection models from confidence ratings
AU - Selker, Ravi
AU - van den Bergh, Don
AU - Criss, Amy H.
AU - Wagenmakers, Eric Jan
N1 - Funding Information:
This research was funded by a research talent grant from NWO (Dutch Organization for Scientific Research) awarded to Ravi Selker. Supplemental Materials (including all the scripts and data needed to reproduce the analyses in this paper) can be found on https://osf.io/ypcqn/.
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Signal detection theory (SDT) is used to quantify people’s ability and bias in discriminating stimuli. The ability to detect a stimulus is often measured through confidence ratings. In SDT models, the use of confidence ratings necessitates the estimation of confidence category thresholds, a requirement that can easily result in models that are overly complex. As a parsimonious alternative, we propose a threshold SDT model that estimates these category thresholds using only two parameters. We fit the model to data from Pratte et al. (Journal of Experimental Psychology: Learning, Memory, and Cognition, 36, 224–232 2010) and illustrate its benefits over previous threshold SDT models.
AB - Signal detection theory (SDT) is used to quantify people’s ability and bias in discriminating stimuli. The ability to detect a stimulus is often measured through confidence ratings. In SDT models, the use of confidence ratings necessitates the estimation of confidence category thresholds, a requirement that can easily result in models that are overly complex. As a parsimonious alternative, we propose a threshold SDT model that estimates these category thresholds using only two parameters. We fit the model to data from Pratte et al. (Journal of Experimental Psychology: Learning, Memory, and Cognition, 36, 224–232 2010) and illustrate its benefits over previous threshold SDT models.
KW - Bayesian hierarchical models
KW - Confidence ratings
KW - Signal detection theory
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U2 - 10.3758/s13428-019-01231-3
DO - 10.3758/s13428-019-01231-3
M3 - Article
C2 - 31069712
AN - SCOPUS:85065654000
SN - 1554-351X
VL - 51
SP - 1953
EP - 1967
JO - Behavior Research Methods
JF - Behavior Research Methods
IS - 5
ER -