References

Aden-Buie, G., Schloerke, B., Allaire, J., & Rossell Hayes, A. (2023). Learnr: Interactive tutorials for r. https://CRAN.R-project.org/package=learnr
Allaire, J. (2022). Quarto: R interface to quarto markdown publishing system. https://github.com/quarto-dev/quarto-r
Allaire, J., Xie, Y., Dervieux, C., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., Wickham, H., Cheng, J., Chang, W., & Iannone, R. (2023). Rmarkdown: Dynamic documents for r. https://CRAN.R-project.org/package=rmarkdown
Bache, S. M., & Wickham, H. (2022). Magrittr: A forward-pipe operator for r. https://CRAN.R-project.org/package=magrittr
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
Dowle, M., & Srinivasan, A. (2023). Data.table: Extension of ‘data.frame‘. https://CRAN.R-project.org/package=data.table
Enders, C. K. (2010). Applied missing data analysis. Guilford Press.
Enders, C. K. (2023). Missing data: An update on the state of the art. Psychological Methods. https://doi.org/10.1037/met0000563
Fox, J., Weisberg, S., & Price, B. (2022). Car: Companion to applied regression. https://CRAN.R-project.org/package=car
Gagolewski, M., Tartanus, B., Unicode, others;, Inc., et al. (2022). Stringi: Fast and portable character string processing facilities. https://CRAN.R-project.org/package=stringi
Komsta, L., & Novomestky, F. (2022). Moments: Moments, cumulants, skewness, kurtosis and related tests. https://CRAN.R-project.org/package=moments
McNeish, D. (2017). Thanks coefficient alpha, we’ll take it from here. Psychological Methods. https://doi.org/10.1037/met0000144
McNeish, D., & Wolf, M. G. (2020). Thinking twice about sum scores. Behavior Research Methods, 52(6), 2287–2305. https://doi.org/10.3758/s13428-020-01398-0
Müller, K., & Wickham, H. (2023). Tibble: Simple data frames. https://CRAN.R-project.org/package=tibble
Posit team. (2023). RStudio: Integrated development environment for r. Posit Software, PBC. http://www.posit.co/
R Core Team. (2022). Foreign: Read data stored by minitab, s, SAS, SPSS, stata, systat, weka, dBase, ... https://svn.r-project.org/R-packages/trunk/foreign/
R Core Team. (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
Revelle, W. (2023). Psych: Procedures for psychological, psychometric, and personality research. https://personality-project.org/r/psych/ https://personality-project.org/r/psych-manual.pdf
Revelle, W., & Zinbarg, R. E. (2009). Coefficients alpha, beta, omega, and the glb: Comments on sijtsma. Psychometrika, 74(1), 145–154. https://doi.org/10.1007/s11336-008-9102-z
Rose, N., Wagner, W., Mayer, A., & Nagengast, B. (2019). Model-based manifest and latent composite scores in structural equation models. Collabra: Psychology, 5(1), 243. https://doi.org/10.1525/collabra.143
Rosseel, Y., Jorgensen, T. D., & Rockwood, N. (2023). Lavaan: Latent variable analysis. https://lavaan.ugent.be
Sarkar, D. (2021). Lattice: Trellis graphics for r. http://lattice.r-forge.r-project.org/
Savalei, V., & Reise, S. P. (2019). Don’t forget the model in your model-based reliability coefficients: A reply to McNeish (2018). Collabra: Psychology, 5(1), 36. https://doi.org/10.1525/collabra.247
Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7(2), 147–177. https://doi.org/10.1037/1082-989X.7.2.147
Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of cronbach’s alpha. Psychometrika, 74(1), 107–120. https://doi.org/10.1007/s11336-008-9101-0
van Buuren, S., & Groothuis-Oudshoorn, K. (2021). Mice: Multivariate imputation by chained equations. https://CRAN.R-project.org/package=mice
Wickham, H. (2022). Stringr: Simple, consistent wrappers for common string operations. https://CRAN.R-project.org/package=stringr
Wickham, H. (2023). Tidyverse: Easily install and load the tidyverse. https://CRAN.R-project.org/package=tidyverse
Wickham, H., Chang, W., Henry, L., Pedersen, T. L., Takahashi, K., Wilke, C., Woo, K., Yutani, H., & Dunnington, D. (2023). ggplot2: Create elegant data visualisations using the grammar of graphics. https://CRAN.R-project.org/package=ggplot2
Wickham, H., François, R., Henry, L., Müller, K., & Vaughan, D. (2023). Dplyr: A grammar of data manipulation. https://CRAN.R-project.org/package=dplyr
Wickham, H., Miller, E., & Smith, D. (2022). Haven: Import and export SPSS, stata and SAS files. https://CRAN.R-project.org/package=haven
Wickham, H., & Seidel, D. (2022). Scales: Scale functions for visualization. https://CRAN.R-project.org/package=scales
Wickham, H., Vaughan, D., & Girlich, M. (2023). Tidyr: Tidy messy data. https://CRAN.R-project.org/package=tidyr
Widaman, K. F., & Revelle, W. (2022). Thinking thrice about sum scores, and then some more about measurement and analysis. Behavior Research Methods. https://doi.org/10.3758/s13428-022-01849-w
Wissik, T., & Ďurčo, M. (2015). Research data workflows: From research data lifecycle models to institutional solutions. http://www.ep.liu.se/ecp/123/008/ecp15123008.pdf
Xie, Y. (2023). Knitr: A general-purpose package for dynamic report generation in r. https://yihui.org/knitr/
Zhu, H. (2021). kableExtra: Construct complex table with kable and pipe syntax. https://CRAN.R-project.org/package=kableExtra