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Fills need in existing literature for textbook on R and Psychometrics Broadens perspective from classical methods (for instance, latent variable models) to emphasize contemporary methodology (multidimensional scaling, functional data analysis, fMRI analysis) Accompanying datasets and reproducible code allow readers to move beyond the conceptual

Produktbeschreibung
Fills need in existing literature for textbook on R and Psychometrics
Broadens perspective from classical methods (for instance, latent variable models) to emphasize contemporary methodology (multidimensional scaling, functional data analysis, fMRI analysis)
Accompanying datasets and reproducible code allow readers to move beyond the conceptual

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Patrick Mair is Senior Lecturer in Statistics in the Department of Psychology at Harvard University. His research focuses on computational and applied statistics with special emphasis on psychometric methods, such as latent variable models and multivariate exploratory techniques. Mair holds a doctorate in Statistics and a master's degree in Psychology from the University of Vienna. He was also a Research Fellow at the Department of Statistics at the University of California, Los Angeles.
Rezensionen
"The book gives an exhaustive overview of statistical methods that may be used when analyzing results of research in psychology. Main accent is on the use of R software during analysis of data. The main goal of the book is to provide the reader with main methods used for data analysis and how those methods may be executed using software package R." (Jonas Siaulys, zbMath 1414.62006, 2019)