**READ ME** **Title**: Critical Assessment of the Resistance to Framing Scale **Description**: In this project, we conducted an online survey in North America (N = 261) and Bulgaria (N = 245) to test the performance of the Resistance to Framing scale. **Authors**: Sandra J. Geiger, Jáchym Vintr, and Nikolay R. Rachev **Correspondence**: For any questions, please contact Sandra J. Geiger (sandra.geiger@univie.ac.at). **Date**: 2021-09-23 **Digital Object Identifier (DOI):** not yet available **Overview of files in the repository**: **1. Preregistration** - `FitIndicesCutOffValues.pdf`: This file contains a supplementary table with cut-off values for fit indices. The full preregistration is under "Registrations". **2. Study Materials** - **Materials_BG** - `JRP_Study_Bulgaria_fin.qsf`: entire Qualtrics survey used in the study in Bulgaria, including the Resistance to Framing scale - `StudyMaterialsBG.pdf`: entire Bulgarian survey as pdf - **Materials_NA** - `JRP_Study_NAmerica_fin.qsf`: entire Qualtrics survey used in the study in North America, including the Resistance to Framing scale - `StudyMaterialsEn`: entire English survey as pdf **3. Data** - `Codebook.xlsx`: The codebook contains the names and description of all variables in the datasets. - **Data_BG** contains the following datasets related to the study in Bulgaria: - `Data_BG.Rdata/csv`: anonymized dataset prior to any exclusions - `demographics_BG_excloutliers.Rdata/csv`: demographics (e.g., age, education, gender) of the dataset excluding outliers - `demographics_BG_incloutliers.Rdata/csv`: demographics (e.g., age, education, gender) of the dataset not excluding outliers - `variables_BG_excloutliers.Rdata/csv`: cleaned anonymized dataset for the main analysis (e.g., removing unnecessary variables, setting appropriate variable types, excluding participants according to preregistered criteria including multivariate outliers) - `variables_BG_incloutliers.Rdata/csv`: cleaned anonymized dataset for the analysis in the appendix (e.g., removing unnecessary variables, setting appropriate variable types but not excluding outliers) - **Data_NA** contains the following datasets related to the study in North America: - `Data_NA.Rdata/csv`: anonymized dataset prior to any exclusions - `demographics_NA_excloutliers.Rdata/csv`: demographics (e.g., age, education, gender) of the dataset excluding outliers - `demographics_NA_incloutliers.Rdata/csv`: demographics (e.g., age, education, gender) of the dataset not excluding outliers - `variables_NA_excloutliers.Rdata/csv`: cleaned anonymized dataset for the main analysis (e.g., removing unnecessary variables, setting appropriate variable types, excluding participants according to preregistered criteria including multivariate outliers) - `variables_NA_incloutliers.Rdata/csv`: cleaned anonymized dataset for the analysis in the appendix (e.g., removing unnecessary variables, setting appropriate variable types but not excluding outliers) - **Data_Comparison** contains the following dataset related to the comparison of the Bulgarian and North American data: - `Data_Full.Rdata/csv`: combined the two datasets `variables_BG_excloutliers.Rdata/csv` and `variables_NA_excloutliers.Rdata/csv` **4. Analysis Code** - **Scripts_BG** - `00_anonymizedata_BG.Rmd`: R code to anonymize the Bulgarian data - `01_preparedata_BG_excloutliers.Rmd`: R code to prepare the data for the analysis including outlier exclusions - `01_preparedata_BG_incloutliers.Rmd`: R code to prepare the data for the analysis without outlier exclusions - `02_analysis_BG_excloutliers.Rmd`: R code to run the confirmatory factor and IRT analyses on the Bulgarian sample based on the dataset that excluded outliers - `02_analysis_BG_incloutliers.Rmd`: R code to run the confirmatory factor analysis on the Bulgarian sample based on the dataset that did not exclude outliers - **Scripts_NA** - `00_anonymizedata_NA.Rmd`: R code to anonymize the North American data - `01_preparedata_NA_excloutliers.Rmd`: R code to prepare the data for the analysis including outlier exclusions - `01_preparedata_NA_incloutliers.Rmd`: R code to prepare the data for the analysis without outlier exclusions - `02_analysis_NA_excloutliers.Rmd`: R code to run the confirmatory factor and IRT analyses on the North American sample based on the dataset that excluded outliers - `02_analysis_NA_incloutliers.Rmd`: R code to run the confirmatory factor analysis on the North American sample based on the dataset that did not exclude outliers - **Comparison** - `02_analysis_comparison.Rmd`: R code to run the measurement invariance testing based on a dataset combining North American and Bulgarian samples, excluding outliers **5. Manuscript** **Reproduction of results**: To reproduce the North American key results, please start with `01_preparedata_NA_excloutliers.Rmd` and load it into your software program. Reproducible R code for the analyses is provided in `02_analysis_NA_excloutliers.Rmd`. To reproduce the results including outliers reported in the appendix of the manuscript, please use the files `01_preparedata_NA_incloutliers.Rmd` and `02_analysis_NA_incloutliers.Rmd`. To reproduce the Bulgarian key results, please start with `01_preparedata_BG_excloutliers.Rmd` and load it into your software program. Reproducible R code for the analyses is provided in `02_analysis_BG_excloutliers.Rmd`. To reproduce the results including outliers reported in the appendix of the manuscript, please use the files `01_preparedata_BG_incloutliers.Rmd` and `02_analysis_BG_incloutliers.Rmd`. **Licence**: The content of this folder is licensed under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). You may share and adapt all content of this folder, as long as appropriate credit is given. If you would like to use this data for a publication, please contact blinded. **Other work that has used this data:** Actively Open-Minded Thinking, Bullshit Receptivity, and Susceptibility to Framing: Evaluating the Dual-Process Account in North America and Bulgaria (https://osf.io/hx8qt/).