The research conducted using this material was published as: Rausch, M., Hellmann, S., and Zehetleitner, M. (2018). Confidence in masked orientation judgments is informed by both evidence and visibility. *Attention, Perception, & Psychophysics,* *80*, 134-154. doi: 10.3758/s13414-017-1431-5. The file "ConfidenceInMasking.zip" contains the experimental program, the instructions, the data, as well as the computer code. A free full text view-only version of the paper is available at: http://rdcu.be/wRgx The subfolder Exp1 and Exp2 contains the experimental program, the original instructions, and the raw data in Exp. 1 and 2, respectively. The experiment was conducted using PsychoPy 1.83.04 running on Windows 10. The file "Modeling_confidence_masked_orientation_discrimination.pdf" provides the pre-registered hypothesis and analysis. Hypothesis and analysis were registered when the data was already being collected, but not yet analyzed. The files "ConfidenceAndResponseJoystickPreregisteredAnalysis.r" and "ConfidenceAfterResponsesPreregisteredAnalysis.r" provide the r scripts to analyze Exp. 1 and Exp. 2, respectively. The results obtained are found in "AnalysisConfidence&ResponseWithJoystick.RData" and "AnalysisConfidenceDelayed.RData". The files "ConfidenceAfterResponsesResamplingAnalysis.R" and "ConfidenceAndResponsesJoystickResamplingAnalysis.R" provide the r scripts for the resampling analysis performed to address Reviewers' concerns. The results obtained are found in "ConfAfterRespResamplingAnalysis.RData" and "ConfAndResp_JoyResamplingAnalysis.RData". The file "FittingFunctions.r" provides functions for fitting the confidence models to the data. To reproduce the analysis, download and unpack all data on your local hard drive. The R scripts begin with setting the path; please insert the path to the folder where ever you have stored the files. We conducted the analysis on using R 3.3.3 (64-bit) and the R packages ggplot2 2.2.1, plyr 1.8.4, and BayesFactor 0.9.12, snow 0.4.2, and doSNOW 1.0.14, R.utils 2.5.0 and Hmisc 4.0.2 on a PC running on Windows 10. All material is licensed under a CC-BY-NC-SA 4.0 license. For a human-readable summary of what you are allowed to do with that piece of work, see https://creativecommons.org/licenses/by-nc-sa/4.0/