Unsupervised Mobile Stroop Task: Data and Analysis Code

This repository contains the raw behavioral data and a fully reproducible analysis pipeline for the study: “What Survives Outside the Lab? Distributional and Temporal Properties of Stroop Interference in an Unsupervised Mobile Task.” Contents: • Raw trial-level dataset (dados_stroop_raw.csv)• Cleaned dataset used in analyses (stroop_zenodo.csv)• Complete Python analysis pipeline (analysis_pipeline.py)• Requirements file for environment replication• Codebook describing all variables• All scripts required to reproduce reported figures and statistical results The analysis pipeline reproduces: • Cluster-robust regression models• Bootstrap mean and median interference estimates• Shift function with confidence intervals• Stratified shift analyses• Population-level temporal interference curve• Linear model–based Δ(x) visualization• Sensitivity (minimum detectable effect) analysis This archive complies with TOP Level 2 transparency standards.All files are publicly accessible and reproducible.