Data -------------- - Raw data from all tasks: [zip archive][1] - File with the coded data (output from the R script): [.csv file][3] - File with East-West coding for participants at the University of Illinois: [.csv file][4] Code Files ---------- This section contains the code (written in Python using PsychoPy) that was used in the experiment. The file called "MainCode.py" is the main code, which is made up of the three different perceptual tasks. The images files that were used for the Navon Figures are also uploaded. The file called "THEQuestion!.py" is the code for the questions that the participants were asked. This code was ran after the main experiment code. To view these files, click on the "Files" tab above. Corrections -------------- There was a problem with the way that "Correct" column in the "global/local" experiment was recording data. This column was meant to represent whether the participant responded correctly to whether one of the target letters ("E" or "H") was present in the display. The KeyPress column generated multiple responses on some trials but not on others. For example, on certain trials, it registers just ['up] and codes that as an incorrect response. On the second trial, it registers ['down','down'] and registers that as correct. When it only registers one key press, it counts that as an incorrect response even if it was the correct response. For example, up was the correct response for the first trial, but the "Correct" column marks it as "no." This means that in this column, there were far more "incorrect" responses than there should have been. We were able to recalculate this column from the information in the output file, so it should now be correctly represented in the analyzable form of the raw data. Subject Elimination Criteria ----------------------- We separated the participants into two groups (East and West) based on their responses to pre-screening questions that they submitted at the beginning of the semester when they first registered for the subject pool. The questions and responses we used to assign people to groups are described in detail in the "Procedures" component. We verified their responses to the pre-screening questions by looking at their responses to the background questions, which were included at the end of the study. We eliminated data from Eastern participants who reported spending more than 1 year in the United States or other Western countries (such self-reports were inconsistent with their responses to the subject pool pre-screening questions, so we excluded their data in an effort to be conservative in classifying participants as Eastern). None of the Western participants reported having spent more than 1 year in Asia, so data from all participants whose pre-screening responses permitted them to see the study number corresponding to Western participants were included in the analyses. We created an Excel spreadsheet indicating this coding (see the Data component) and imported it directly into the analyses using the R script that handled all data importing and analysis. All data were imported, with an additional column noting whether data from that participant needed to be excluded due to a failure to meet the inclusion criteria. [1]: https://osf.io/wm4tq/ [3]: https://osf.io/r59wq/ [4]: https://osf.io/d4tzv/