Materials for paper "GPT Models Can Perform Thematic Analysis in Public Health Studies, Akin to Qualitative Researchers" by Yuyi Yang, Charles Alba, Chenyu Wang, May Li, Xi Wang, Jami Anderson, Ruopeng An. This OSF contains the evaluation results among the all 11 evaluated studies across 5 evaluators, as well as the codes used to perform the statistical analysis of the evaluations. Figures of the paper have also been added to this OSF. Individuals who wish to use our methods (of applying GPT models to transcripts to extract themes) could use of package titled AutoThemeGenerator (https://pypi.org/project/AutoThemeGenerator/). Step-by-step guides could be found at our documentation (https://cja5553.github.io/ReadTheDocs_AutoThemeGenerator/). To obtain the transcripts used in the evaluation, you can obtain them at Havard Dataverse (name of the studies to be specified in the publication). The obtained themes of each evaluated study could be found in the Supplemental Section (available upon publication).