This repository contains all data, materials, and scripts to reproduce the results of "Differential Perceptions of and Reactions to Incivil and Intolerant User Comments".
**Notes**
Scripts should be run in the intended order (see file prefixes `1_`, `2_`, etc.) in clean R (`>= 4.0.0`) sessions.
Please note that due to privacy and file size restrictions, we do not share publicly the following files:
- The raw data file `data/raw/data_raw.csv` used in `scripts/1_clean_and_prepare.R`. We will provide this file to researchers upon reasonable request. All other scripts use the transformed data.
- The model fits (`models/*_fits.rds`) estimated in `scripts/4_compute_multiverse.R` are excluded from this repo due to file size restrictions. All multiverse investigations performed in `scripts/5_investigate_multiverse.R` and `scripts/6_investigate_multiverse_glm.R` are built on the provided model outputs (`models/*_contrasts.rds`) and are thus reproducible without the model fits. The model fits are however needed to reproduce the control variable analyses performed in `scripts/7_investigate_multiverse_controls.R` and thus need to be reproduced (or obtained from us) before running this script.
**Session info**
```r
R version 4.2.1 (2022-06-23 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22621)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
system code page: 65001
attached base packages:
[1] stats graphics grDevices
[4] utils datasets methods
[7] base
other attached packages:
[1] tidycomm_0.2.1
[2] furrr_0.3.1
[3] future_1.28.0
[4] patchwork_1.1.2
[5] lme4_1.1-30
[6] Matrix_1.5-1
[7] report_0.5.5
[8] see_0.7.3
[9] correlation_0.8.3
[10] modelbased_0.8.5
[11] effectsize_0.8.1
[12] parameters_0.19.0
[13] performance_0.10.0
[14] bayestestR_0.13.0
[15] datawizard_0.6.2
[16] insight_0.18.5
[17] easystats_0.5.2
[18] forcats_0.5.2
[19] stringr_1.4.1
[20] dplyr_1.0.10
[21] purrr_0.3.5
[22] readr_2.1.3
[23] tidyr_1.2.1
[24] tibble_3.1.8
[25] ggplot2_3.3.6
[26] tidyverse_1.3.2
loaded via a namespace (and not attached):
[1] httr_1.4.4
[2] jsonlite_1.8.2
[3] splines_4.2.1
[4] modelr_0.1.9
[5] assertthat_0.2.1
[6] googlesheets4_1.0.1
[7] cellranger_1.1.0
[8] globals_0.16.1
[9] pillar_1.8.1
[10] backports_1.4.1
[11] lattice_0.20-45
[12] glue_1.6.2
[13] digest_0.6.29
[14] rvest_1.0.3
[15] minqa_1.2.4
[16] colorspace_2.0-3
[17] pkgconfig_2.0.3
[18] broom_1.0.1
[19] listenv_0.8.0
[20] haven_2.5.1
[21] xtable_1.8-4
[22] mvtnorm_1.1-3
[23] scales_1.2.1
[24] tzdb_0.3.0
[25] emmeans_1.8.1-1
[26] googledrive_2.0.0
[27] farver_2.1.1
[28] generics_0.1.3
[29] ellipsis_0.3.2
[30] withr_2.5.0
[31] cli_3.4.1
[32] magrittr_2.0.3
[33] crayon_1.5.2
[34] readxl_1.4.1
[35] estimability_1.4.1
[36] parallelly_1.32.1
[37] fs_1.5.2
[38] fansi_1.0.3
[39] nlme_3.1-157
[40] MASS_7.3-57
[41] xml2_1.3.3
[42] tools_4.2.1
[43] hms_1.1.2
[44] gargle_1.2.1
[45] lifecycle_1.0.3
[46] munsell_0.5.0
[47] reprex_2.0.2
[48] specr_0.2.1
[49] compiler_4.2.1
[50] rlang_1.0.6
[51] grid_4.2.1
[52] nloptr_2.0.3
[53] rstudioapi_0.14
[54] igraph_1.3.5
[55] labeling_0.4.2
[56] boot_1.3-28
[57] codetools_0.2-18
[58] gtable_0.3.1
[59] DBI_1.1.3
[60] R6_2.5.1
[61] lubridate_1.8.0
[62] utf8_1.2.2
[63] stringi_1.7.8
[64] parallel_4.2.1
[65] Rcpp_1.0.9
[66] vctrs_0.4.2
[67] dbplyr_2.2.1
[68] tidyselect_1.2.0
[69] coda_0.19-4
```
