This repository is under review for potential modification in compliance with Administration directives.
The Wisconsin Longitudinal Study is committed to the privacy of its study participants and WLS staff takes great care to maintain their confidentiality. To this aim, some variables are either not included or truncated in the publicly available data. Researchers can identify these protected variables by the note “Not Available on Public Release” in the online codebooks. If your research requires access to the protected data, please follow these instructions.
Researchers are reminded that WLS data are considered Human Subject Data and any research involving Human Subject Data requires IRB approval. WLS researchers are also reminded that they should not publish any tables with cell sizes less than or equal to five.
Researchers may not upload WLS data to public large language models (LLMs) or AI platforms including, but not limited to, ChatGPT, Claude, Gemini, Copilot, and other similar systems that process data externally and do not guarantee data confidentiality or non-retention. Public LLMs and AI platforms retain data provided by the user and can be used for any purpose, including training the platforms. Uploading data to public LLMs or AI platforms constitutes data sharing and thus is not allowed.
Explanation of Wide and Long forms of data
Downloads
Main Dataset
To summarize the data we suggest you cite this article in your research:
Herd, P., Carr, D., & Roan, C. (2014). Cohort Profile: Wisconsin Longitudinal Study (WLS). International Journal of Epidemiology, 43, 34–41. PMCID: PMC3937969