Data and code for the analysis of Colombian teachers' perceptions, knowledge, and teaching of climate change

This repository contains the dataset and R scripts used to reproduce the statistical analyses of a study on Colombian teachers' perceptions, knowledge, and teaching of climate change. The repository includes:- The dataset (data_encuesta.csv)- Five R scripts corresponding to the main analyses: 1. Predictor association analysis 2. Binary logistic regression (anthropogenic attribution) 3. Multinomial logistic regression (main perceived driver) 4. Ordinal regression (perceived scientific consensus, PPOM) 5. Binary logistic regression (teaching climate change) All scripts are fully reproducible and include data cleaning, variable construction, model estimation, and diagnostic checks. Analyses were conducted using R (version 4.5.2). The dataset is encoded in Windows-1252. This repository is provided to ensure transparency and reproducibility of the research.