### **GENERAL INFORMATION** #### **Preliminary title of study** "An Artifact After All — Do Hand Trajectories Reflect Continuous Attraction To Competing Response Options?" #### **Author Information** 1. **Name**: Mathias Stoeber **Institution**: University of Osnabrück, Institute of Cognitive Science **Email**: m.stoeber@posteo.de 2. **Name**: Timo B. Roettger **Institution**: University of Osnabrück, Institute of Cognitive Science #### **Date of data collection**: Pilot data: January 2020 Data: to be collected #### **Geographic location of data collection** Osnabrück, Germany ---------- ### **SHARING/ACCESS INFORMATION** #### **Licenses/restrictions placed on the data**: CC0-BY 4.0 ---------- ### **DATA & FILE OVERVIEW** #### **Data & Analysis Component** ---------- **`SGK_ReAnalysis`** contains: - **`CodeBook for CohortMouse_data.rtf`** Codebook containing information about all variables relevant for plotting and statistical analysis of the original data, shared by Michael Spivey. - **`derived_data`** Contains data files generated during the preprocessing stage and summaries of posterior extractions. Relevant for plotting and modeling. - **`models`** Contains model output generated by `02_modeling.R` - **`plots`** Contains plots generated by `01_plotting.R` - **`raw_data`** Contains the data table received from Michael Spivey. - **`scripts`** Contains R scripts to process, analyze, and plot data: - `00_preprocessing.R` prepares the original data for further processing and stores the data tables in `derived_data`. - `01_plotting.R` generates figures for manuscript and stores them in `plots`. - `02_modelling.R` runs Bayesian hierarchical models and extracts posteriors. It stores posteriors into `derived_data` and the models into `models`. It further plots the results against the data and stores them in `plots`. ---------- **`replication_study`** contains: - **`CodeBook for derivedDF.rtf`** Codebook containing information about all variables relevant for plotting and statistical analysis of the pilot data. - **`data`** Contains raw `.csv` data files generated by Open Sesame, including the pilot data in `Pilot/` which served as the input for all statistical scripts. - **`derived_data`** Contains data files generated during the preprocessing stage (`derivedDF_pilot`) and summaries of posterior extractions. It also contains the fake data simulated for the power analysis (`fakeData.csv`). Relevant for plotting and modeling. - **`models`** Contains model output generated by `02_modeling.R` - **`plots`** Contains publication ready plots generated by `01_plotting.R` - **`scripts`** Contains R scripts to process, analyze and plot data: - `00_preprocessing.R` prepares the raw mousetracking data for further processing and stores the data tables in `derived_data`. - `01_plotting.R` generates figures for manuscript and stores them in `plots`. - `02_modelling.R` runs Bayesian hierarchical models and extracts posteriors. It stores posteriors into `derived_data` and the model into `models`. It further plots the results against the data and stores them in `plots`. - `03_simulateData.R` simulates fake data based on the pilot data and runs a power analysis. It stores the outcome in `derived_data` and generates a power curve plot, stored in `plots`. #### **Materials Component** - **`documents and forms`** Contains two PDF files: - the general information issued to all participants - the consent form all participants were asked to sign before their participation - **`OpSe experiment`** - `__pool__` the OpenSesame file pool, containing: - all pictorial stimuli as `.png` files - all acoustic stimuli as `.wav` files - all trials as `.csv` files ---------- ### **METHODOLOGICAL INFORMATION** #### **Instrument- or software-specific information needed to interpret the data**: R version 3.5.0 (2018-04-23) Platform: x86_64-apple-darwin15.6.0 (64-bit) Running under: macOS 10.15 the attached packages: `rstan_2.19.2` `StanHeaders_2.19.0` `mousetrap_3.1.0` `readbulk_1.1.0` `ggpubr_0.1.7` `magrittr_1.5` `rstudioapi_0.9.0` `gridExtra_2.3` `brms_2.3.5` `Rcpp_1.0.2` `stringr_1.4.0` `dplyr_0.8.3` `readr_1.3.1` `tidyr_1.0.0` `tibble_2.1.3` `ggplot2_3.2.1` `tidyverse_1.2.1` #### **People involved with sample collection, processing, analysis and/or submission**: Mathias Stoeber (author) Timo B. Roettger (author) Monika Tröber (participant acquisition & data collection)