# Causality and Continuity Close the Gaps in Event Representations ## Repository guide The repository is organized by experiment. Each experiment folder contains separate folders for the data and the stimuli. ### Stimuli notes Experiments 1 and 4 were run in the lab using MatLab and the psychophysics toolbox. Experiments 2 and 3 were run using Qualtrics and Amazon Mechanical Turk. For Experiments 2 and 3, the qualtrics survey is included in its exported form (a .qsf file) while the stimulus file themselves (movies and still images) are in their own folders. In Experiments 1 and 4, the moment-of-release images were always numbered "1", the lures were numbered 8-10, and the seen-action images were 2-7. In Experiments 2-3, the moment-of-release image was always the one numbered '4', the lure images were numbered 8-10, and the seen-action images were 1-3 and 5-7. With the exception of the lures, the numbering was loosely chronological according to when the frame occurred in the video. In Experiment 3, there are separate lure images for each condition, because images from other conditions in this experiment were used as lures instead of a set of images which never appeared in any condition. ### Experiment 1 stimuli organization Experiment 1 had a somewhat complex design. Participants were assigned to either a causal group or a non-sequitur group. Within the causal group, half of the videos they saw had "expected" endings (e.g., basketball going into hoop) and half had "unexpected" endings (e.g., basketball going into soccer goal). To ensure that we had expected and unexpected versions of each video, the causal group was therefore divided into "subgroup A" and "subgroup B". Videos that had expected endings in subgroup A had unexpected endings in subgroup B and vice-versa. The organization of the stimuli folders for Experiment 1 reflects this: Within the causal group there are separate folders for each subgroup within the expected and unexpected endings, to make it possible to reconstruct exactly which videos each group saw. ### Data notes Each data folder comes with an Excel file that includes a "key" or "data guide" sheet that explains its contents. In addition, there is a csv file for use with the accompanying R script, which we used to conduct the analyses reported in the manuscript. For Experiments 1 and 4, a separate zip file is included that contains the raw data. This is because MatLab saved a separate file for each participant in these experiments, which we then condensed into the summary files you see. Notably, the participants who were excluded from analyses can only be found in these raw data folders. For Experiments 2 and 3, the excel file contains a sheet with the raw Qualtrics output, and the excluded participants are identified and separated out as part of the analysis script.