Practical Assessment, Research, and Evaluation Volume 24 Volume 24, 2019 Article 5 2019 Generalizability Theory in R Alan Huebner Marisa Lucht Follow this and additional works at: https://scholarworks.umass.edu/pare Recommended Citation Huebner, Alan and Lucht, Marisa (2019) "Generalizability Theory in R," Practical Assessment, Research, and Evaluation: Vol. 24 , Article 5. DOI: https://doi.org/10.7275/5065-gc10 Available at: https://scholarworks.umass.edu/pare/vol24/iss1/5 This Article is brought to you for free and open access by ScholarWorks@UMass Amherst. It has been accepted for inclusion in Practical Assessment, Research, and Evaluation by an authorized editor of ScholarWorks@UMass Amherst. For more information, please contact
[email protected]. Huebner and Lucht: Generalizability Theory in R A peer-reviewed electronic journal. Copyright is retained by the first or sole author, who grants right of first publication to Practical Assessment, Research & Evaluation. Permission is granted to distribute this article for nonprofit, educational purposes if it is copied in its entirety and the journal is credited. PARE has the right to authorize third party reproduction of this article in print, electronic and database forms. Volume 24 Number 5, July 2019 ISSN 1531-7714 Generalizability Theory in R Alan Huebner and Marisa Lucht, University of Notre Dame Generalizability theory is a modern, powerful, and broad framework used to assess the reliability, or dependability, of measurements. While there exist classic works that explain the basic concepts and mathematical foundations of the method, there is currently a lack of resources addressing computational resources for those researchers wishing to apply generalizability in practice.