The R Journal: article published in 2019, volume 11:1

unival: An FA-based R Package For Assessing Essential Unidimensionality Using External Validity Information
Pere J. Ferrando, Urbano Lorenzo-Seva and David Navarro-Gonzalez , The R Journal (2019) 11:1, pages 427-436.

Abstract The unival package is designed to help researchers decide between unidimensional and correlated factors solutions in the factor analysis of psychometric measures. The novelty of the approach is its use of external information, in which multiple factor scores and general factor scores are related to relevant external variables or criteria. The unival package’s implementation comes from a series of procedures put forward by Ferrando and Lorenzo-Seva (2019) and new methodological developments proposed in this article. We assess models fitted using unival by means of a simulation study extending the results obtained in the original proposal. Its usefulness is also assessed through a real-world data example. Based on these results, we conclude unival is a valuable tool for use in applications in which the dimensionality of an item set is to be assessed.

Received: 2019-03-18; online 2019-08-20, supplementary material, (449 B)
CRAN packages: unival, stats, optimbase, psych, mirt
CRAN Task Views implied by cited CRAN packages: Psychometrics, MissingData

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2019-040,
  author = {Pere J. Ferrando and Urbano Lorenzo-Seva and David Navarro-
          Gonzalez},
  title = {{unival: An FA-based R Package For Assessing Essential
          Unidimensionality Using External Validity Information}},
  year = {2019},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2019-040},
  url = {https://doi.org/10.32614/RJ-2019-040},
  pages = {427--436},
  volume = {11},
  number = {1}
}