The GFS team has developed a new preregistration template and guide to streamline data access requests, including both currently available and upcoming 2025 data.
You may request Wave 1 sensitive data through preregistration at any time from now onwards. Read the guide and supplemental methodology (codebook).
Access to sensitive data is through preregistration and must include an Ethical Review Board approval (e.g. IRB, IEC). Sensitive data include the following variables:
Gallup has developed state-level weights for the United States, in addition to the country-level data in the Wave 1 dataset. You can request this through the Wave 1 and 2 preregistration on the GFS Registry.
Researchers can now preregister for early access to Wave 2 non-sensitive data, anticipated for release in Spring 2025. Submitting your preregistration early allows time to consider submitting a Registered Report to a journal, and you may also request Wave 1 data if not previously accessed.
The sample data codebook contains information about the organization and naming of the variables in the sample data and is a key resource for researchers when working with the dataset.
The codebook for the GFS data is available for anyone to access on the GFS Registry, or you can simply access it here.
This sample dataset contains the data collected in Sweden. It has been perturbed by adding a small amount of random error and randomized across rows. Read more here.
You can use it to prepare your hypotheses, models, and analysis script. Fill out this form to access the sample data without preregistration.
The sample dataset contains the data collected in Sweden which has been perturbed by adding a small amount of random error. Read more here.
Access to this sample dataset requires preregistration in advance through the GFS Registry.
Researchers requesting access to the GFS data agree to keep the data private until it is made publicly available, document analyses that are unplanned or changed from the preregistration, report outcomes, share code and materials, and make findings openly accessible. Learn more about the data request agreements.
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