This project contains the preregistration for "Associations between academic dishonesty and personality: A pre-registered meta-analysis" and all materials (coding scheme, data, code for all analyses) for the preregistration, the preprint, and the final publication. **Preregistration files: Resources uploaded for preregistration:** - ADB5_code.RMD (RMarkdown file containing code) - ADB5_code.html (final report of data analyis) - ADB5_coding_form.xlsx (coding sheet) **Preprint files: Resources uploaded for preprint:** - adb5_preprint_code_corrected.RMD (RMarkdown file containing code for the preprint) - adb5_preprint_code_corrected.html (final report of data analyis for the preprint) - data folder containing adb5_preprint_data.xlsx - figures folder (figures will be exported to this folder) - tables folder (tables will be exported to this folder) - adb5_preprint_supplement (Supplementary figures and tables for the preprint) **Publication files: Resources uploaded for the published paper:** - adb5_code.RMD (RMarkdown file containing code) - adb5_code.html (final report of data analysis for the published paper) - adb5_interrater_agreement.R (R script used to compute the interrater agreement between independent coders of the identified studies) - adb5_supplementary_materials (Supplementary figures and tables for the published paper) - data folder containing: + adb5_data (data file containing the final coding sheet of the included studies) + adb5_coding_interrater_sample_1 (the first of two samples of study codings needed to compute interrater agreement) + adb5_coding_interrater_sample_2 (the second sample of study codings needed to compute interrater agreement) - figures folder (figures will be exported to this folder) - tables folder (tables will be exported to this folder) For the RMarkdown file to work properly, you need to have 3 subfolders (data, figures, tables) "under" the RMarkdown file.