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Book review: Modern psychometrics with R. / Robitzsch, Alexander.

In: Frontiers in Psychology, Vol. 11, 606, 15.04.2020.

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Robitzsch, Alexander. / Book review: Modern psychometrics with R. In: Frontiers in Psychology. 2020 ; Vol. 11.

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@article{a4b6ea5bd78a4c068e755c9e5b5266f2,
title = "Book review: Modern psychometrics with R",
abstract = "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.",
keywords = "psychometrics, R, classical test theory, structural equating modeling, item response modeling",
author = "Alexander Robitzsch",
year = "2020",
month = apr,
day = "15",
doi = "10.3389/fpsyg.2020.00606",
language = "English",
volume = "11",
journal = "Frontiers in Psychology",
issn = "1664-1078",
publisher = "Frontiers Media S.A.",

}

RIS

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T1 - Book review: Modern psychometrics with R

AU - Robitzsch, Alexander

PY - 2020/4/15

Y1 - 2020/4/15

N2 - 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.

AB - 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.

KW - psychometrics

KW - R

KW - classical test theory

KW - structural equating modeling

KW - item response modeling

U2 - 10.3389/fpsyg.2020.00606

DO - 10.3389/fpsyg.2020.00606

M3 - Critical review

VL - 11

JO - Frontiers in Psychology

JF - Frontiers in Psychology

SN - 1664-1078

M1 - 606

ER -

ID: 1372430