IPE Assessments
Use the interactive chart below to see which assessments align with various components of the IPLC Model (for more information on the IPCL Model: http://ezp.slu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=cat00825a&AN=slu.b4697763&site=eds-live)
R Session Info
R Session Info
Analyses were conducted using the R Statistical language (version 4.1.1; R Core Team, 2021) on macOS Big Sur 11.5.2, using the packages collapsibleTree (version 0.1.7; Adeel Khan, 2018), readxl (version 1.3.1; Hadley Wickham and Jennifer Bryan, 2019) and report (version 0.3.5; Makowski et al., 2020).
References---------- - Adeel Khan (2018). collapsibleTree: Interactive Collapsible Tree Diagrams using 'D3.js'. R package version 0.1.7. https://CRAN.R-project.org/package=collapsibleTree - Hadley Wickham and Jennifer Bryan (2019). readxl: Read Excel Files. R package version 1.3.1. https://CRAN.R-project.org/package=readxl - Makowski, D., Ben-Shachar, M.S., Patil, I. & Lüdecke, D. (2020). Automated Results Reporting as a Practical Tool to Improve Reproducibility and Methodological Best Practices Adoption. CRAN. Available from https://github.com/easystats/report. doi: . - R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
References---------- - Adeel Khan (2018). collapsibleTree: Interactive Collapsible Tree Diagrams using 'D3.js'. R package version 0.1.7. https://CRAN.R-project.org/package=collapsibleTree - Hadley Wickham and Jennifer Bryan (2019). readxl: Read Excel Files. R package version 1.3.1. https://CRAN.R-project.org/package=readxl - Makowski, D., Ben-Shachar, M.S., Patil, I. & Lüdecke, D. (2020). Automated Results Reporting as a Practical Tool to Improve Reproducibility and Methodological Best Practices Adoption. CRAN. Available from https://github.com/easystats/report. doi: . - R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.