The findings of this study are published in: Purić, D., Petrović, M. B., Živanović, M., Lukić, P., Zupan, Z., Branković, M., Ninković, M., Lazarević, L. B., Stanković, S., & Žeželj, I. (2023). Development of a novel instrument for assessing intentional non-adherence to official medical recommendations (iNAR-12): A sequential mixed-methods study in Serbia. *BMJ Open, 13*(6), e069978. https://doi.org/10.1136/bmjopen-2022-069978. Please cite accordingly.
This component contains the full dataset for the WP2 research study:
- `wp2_dataset_unfiltered.Rda` is the complete, unfiltered dataset (N = 646) saved as an R data file, while `wp2_dataset_unfiltered.csv` contains the same dataset saved as a .csv file;
- `wp2_filtering_participants.R` is the R script used for filtering participants based on their responses on three attention check items;
- `wp2_dataset.Rda` is the filtered dataset (N = 583), after excluding participants who did not pass the attention checks, saved as an R data file, while `wp2_dataset.csv` contains the same dataset saved as a .csv file;
- `WP2 Codebook (Sebian and English).pdf` is a bilingual codebook which contains the names and labels for all variables (including response options) in the datasets. The list of variables is the same for the filtered and unfiltered dataset (the only difference between the datasets is the number of participants).
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Users who wish to create the filtered dataset themselves need to download the `wp2_dataset_unfiltered.Rda` and `wp2_filtering_participants.R` to the same folder on their computer. Running the code will then produce both `wp2_dataset.Rda` and `wp2_dataset.csv` files.
