Meta-Analysis Dataset

Download our complete dataset of AI resistance effects:

Dataset Overview

The dataset contains:

🤖 Effect sizes and standard errors for AI labels / types, AI Characteristics
📚 Study characteristics (e.g., participant pool, incentive compatibility, etc.)
🏢 Application domains (e.g., finance, healthcare, transporation, etc.)
📅 Study periods

Each row represents one effect size, with columns following the PRISMA-IPD reporting guidelines.

Data Dictionary

Important variables:

names(data)
[1] "es_id"            # Effect size ID 
[2] "ai_label"         # How AI was described to participants
[3] "cohens_d"         # All effect sizes converted to Cohen's d
[4] "p_value"          # Exact p-values reported where possible
[5] "n"                # Total sample size of a study
[6] "n1 / n2"          # Number of observations / samples per condition

Please cite our paper when using this dataset:

@article{zehnle2025meta,
  title={Not All AI Is Created Equal: A Meta-Analysis Revealing Drivers of AI Resistance Across Markets, Methods, and Time},
  author={Zehnle, Meike and Hildebrand, Christian and Valenzuela, Ana},
  journal={International Journal of Research in Marketing},
  year={2025},
  volume={xx},
  number={xx},
  pages={xx},
  doi={https://doi.org/10.1016/j.ijresmar.2025.02.005}
}