3  The {mctq} R package

You are reading the work-in-progress of this thesis.

This chapter is currently a dumping ground for ideas, and I don’t recommend reading it.

Target journal

1. Journal of Statistical Software (IF 2022: 5.8/JCR | A1/2017-2020).
2. Journal of Open Source Software (B1/2017-2020).

The following study was conducted by Daniel Vartanian (DV), Ana Amélia Benedito-Silva (AA), Mario Pedrazzoli (MP), and Camilo Rodrigues Neto (CR).

DV contributed to the conception, design, coding, and implementation of the software. AA, MP, and CR served as scientific advisors and reviewers. DV authored the manuscript. All authors discussed the results and revised the final manuscript.

Future reference: Vartanian, D., Benedito-Silva, A. A., Pedrazzoli, M., & Rodrigues Neto, C. (2024). {mctq}: tools to process the Munich ChronoType Questionnaire (MCTQ). Journal of Statistical Software.