Modern Psychometrics with R
This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the
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Patrick Mair
Modern Psychometrics with R
Use R! Series Editors Robert Gentleman
Kurt Hornik
Giovanni Parmigiani
More information about this series at http://www.springer.com/series/6991
Patrick Mair
Modern Psychometrics with R
123
Patrick Mair Department of Psychology Harvard University Cambridge, MA, USA
ISSN 2197-5736 ISSN 2197-5744 (electronic) Use R! ISBN 978-3-319-93175-3 ISBN 978-3-319-93177-7 (eBook) https://doi.org/10.1007/978-3-319-93177-7 Library of Congress Control Number: 2018946544 © Springer International Publishing AG, part of Springer Nature 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
We are living in exciting times when it comes to statistical applications in psychology. The way statistics is used (and maybe even perceived) in psychology has drastically changed over the last few years – computationally as well as methodologically. From a computational perspective, up to some years ago many psychologists considered R as an analysis tool used by the nerdiest quants only. In recent years, R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. R is open source, makes statistical analyses reproducible, and comes with a vast amount of statistical methodology implemented in a myriad of packages. Speaking of packages, in the past decade a flourishing psychometric developer community has evolved; their work has made R a powerful engine for performing all sorts of psychometric analyses. From a methodological perspective, the latent continuum of statistical methods in modern psychology ranges from old school classical test theory approaches to funky sta
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