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. Author manuscript; available in PMC: 2025 Mar 1.
Published in final edited form as: J Exp Psychol Gen. 2023 Dec 14;153(3):656–688. doi: 10.1037/xge0001524

Table 2. Model-specific parameters associated with each of the 14 models.

All models have an equivalent set of general parameters that describe how the primary decision is generated. However, the models differ in their assumptions about how confidence is generated, thus requiring a unique set of parameters to describe confidence decisions. The parameters indicated in bold text are dependent on the stimulus contrast/coherence levels (i.e., there is a separate free parameter for each contrast/coherence). Therefore, for Experiments 2/3, which feature three/eight difficulty levels, each of these parameters increase the total number of free parameters by three/eight. The WEV model was not fit to Experiment 1 because in the presence of a single difficulty level, the model becomes equivalent to the Gauss model.

Model Additional parameters Total # of parameters
Expt 1 Expt 2 Expt 3
SDT None 8 14 15
Gauss σmeta (meta noise) 9 15 16
LogN σmeta (meta noise) 9 15 16
Decay σmeta (meta noise), ρdecay (proportion of sensory signal available for confidence) 10 18 24
Post-dec δpost (post-decisional signal) 9 15 16
2DSD τ (post-decisional signal) 9 15 16
PE None 8 14 15
PE-Flex wpe (weight given to positive evidence) 9 17 23
WEV wvis (weight given to stimulus visibility), σmeta (meta noise) -- 16 17
BCH None -- 14 15
CASANDRE σmeta (meta uncertainty) 9 15 16
DC wunconscious (proportion of the available signal accessed by the unconscious channel) 9 17 23
SDRM σdec (noise in decision criterion), σconf (noise in confidence criteria), ρ (correlation between evidence samples for primary choice and confidence) 11 17 18
SOC σconf (noise in confidence criteria), ρ (correlation between evidence samples for primary choice and confidence) 10 16 17