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Decision time in dynamical confidence models

This repository contains code and data used in the paper Confidence is influenced by evidence accumulation time in dynamical decision models (Hellmann, S., Zehetleitner, M., & Rausch, M. (preprint: https://osf.io/preprints/psyarxiv/5ze8t/). Data was previously published in Hellmann, et al. (2023), Shekhar & Rahnev (2021), and Pleskac & Busemeyer (2010).

Structure:

• dynConfiR-source package file (.tar.gz) (development version of the dynConfiR package used for analyses)
• "ModelAnalysis": folder with code to produce simulations of models (double-increase pattern in 2DSD+, Ornstein-Uhlenbeck model simulations, and simulations and computations of optimal confidence)
• "EmpiricalStudy": folder with
  • "data" folder containing .RData files with the raw data (.csv's are available at the confidence database (https://osf.io/s46pr/)) for the first three experiments analysed
  • Main_Script.R file which includes all analysis, from model fitting to prediction, data aggregation, visualization, and quantitative comparison. This file is structured in sections which can be folded and unfolded in RStudio
  • several .RData files with saved results, which are loaded in Main_Script.R to avoid time-consuming computations (like model fitting), when checking reproducibility
  • a subfolder "SAT_Analysis", which contains the analysis of the fourth experiment
    • LineStudyData.csv the raw data published by Pleskac & Busemeyer (2010)
    • fitting_fcts a folder with helper functions to fit the models and simulate predictions (because the fitting routines for these experiments are not available in the dynConfiR package)
    • SAT_Main_Script.R calls the fitting functions in the fitting_fct folder and generates visualizations of the results
    • several .RDATA files including saved results
• sessionInfo.txt with the text-output of the sessionInfo() function
• SessionInfo.RData including the output of sessionInfo() as R object SessionInfo (this can be used to install the exact package versions more easily)
• InstallRequirements.R providing code to easily install the same package versions used for the analyses as stated in the SessionInfo files.
• LICENCE a licence file for this material, which is published under the GNU GPL

Usage:

• Start R with package file in working directory (use your favorite CRAN mirror)

install.packages("dynWEV_0.0.3.tar.gz", type = "source", dependencies=TRUE,repos="http://some.cran.mirror")

• If necessary, install required packages:

install.packages(c("BayesFactor", "tidyverse", "Rmisc", "ggh4x", "ggpubr", "FNN")) 

• To redo the whole analyses, run EmpiricalStudy/Main_Script.R and EmpiricalStudy/SAT_Analysis/SAT_Main_Script.R
• If some .RData files from the repository are missing, the respective computations will be carried out again, which may take some time

References

Hellmann, S., Zehetleitner, M., & Rausch, M. (2023). Simultaneous modeling of choice, confidence and response time in visual perception. Psychological Review. 2023 Mar 13. https://doi.org/10.1037/rev0000411. Epub ahead of print. PMID: 36913292.

Shekhar, M., & Rahnev, D. (2021). The nature of metacognitive inefficiency in perceptual decision making. Psychological Review, 128(1), 45--70. https://doi.org/10.1037/rev0000249

Pleskac, T. J., & Busemeyer, J. (2010). Two-stage Dynamic Signal Detection: A Theory of Choice, Decision Time, and Confidence. Psychological Review, 117(3). https://doi.org/10.1037/a0019737

Contact

For comments, remarks, and questions please contact me: sebastian.hellmann@tum.de{.email}