Book review: Modern psychometrics with R

Critical reviewResearch

Publication data


ByAlexander Robitzsch
Original languageEnglish
Published inFrontiers in Psychology, 11, Article 606
Pages3
Editor (Publisher)Frontiers Media S.A.
ISSN1664-1078
DOI/Linkhttps://doi.org/10.3389/fpsyg.2020.00606 (Open Access)
Publication statusPublished – 04.2020

The book “Modern Psychometrics with R” by Patrick Mair provides extensive information about recent R (R Core Team, 2020) implementations of psychometric models. The book follows a broad definition of psychometrics in order to meet “the statistical needs of modern measurement” and exceeds the standard definition of psychological measurement (Mair, 2018, p. v). The author admits that several uncommon topics are included in the book, and the strength of the book is in its discussion of a broad range of R packages. The author has extensive expertise in the R community of psychometrics and is the maintainer of the CRAN task view “Psychometrics” (Mair, 2019). The book covers 14 chapters, and in the following review, I classify the chapters into core, broadened, and uncommon psychometrics and provide a discussion of the contents. In Table 1, the titles and the R packages used in the chapters are displayed.