Editors:
- Focuses on quantitative psychology and covers a broad array of topics and the latest developments in psychometrics and statistics
- Contributions are selected, revised, expanded, and peer reviewed.
- Chapters are written by leading experts in the world and promising young researchers
- Fifth in a series of recent volumes to cover research presented at the annual meetings of the Psychometric Society
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 196)
Conference series link(s): IMPS: The Annual Meeting of the Psychometric Society
Conference proceedings info: IMPS 2016.
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Table of contents (37 papers)
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Front Matter
About this book
IMPS is one of the largest international meetings focusing on quantitative measurement in psychology, education, and the social sciences, both in terms of participants and number of presentations. The meeting built on the Psychometric Society's mission to share quantitative methods relevant to psychology, addressing a diverse set of psychometric topics including item response theory, factor analysis, structural equation modeling, time series analysis, mediation analysis, cognitive diagnostic models, and multi-level models. Selected presenters were invited to revise and expand their contributions and to have them peer reviewed and published in this proceedings volume.
Previous volumes to showcase work from the Psychometric Society’s meetings are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013), Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (Springer, 2015), Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 (Springer, 2015), and Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015 (Springer, 2016).
Editors and Affiliations
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Research Institute for Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
L. Andries van der Ark
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Department of Statistics, USBE, Umeå University, Umeå, Sweden
Marie Wiberg
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Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, USA
Steven A. Culpepper, Jeffrey A. Douglas
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Department of Psychology, The Educational University of Hong Kong, Hong Kong, China
Wen-Chung Wang
About the editors
Marie Wiberg is professor of statistics with a specialty in psychometrics at Umeå University in Sweden. Her research interests include test equating, applied statistics, large scale assessments, and psychometrics in general.
Steven A. Culpepper is associate professor of statistics at the University of Illinois at Urbana-Champaign. His research interests include statistical modeling in the social sciences, Bayesian models and computation, cognitive diagnosis, and alternative standardized testing formats.
Jeffrey A. Douglas is a professor of statistics at the University of Illinois at Urbana-Champaign. He conducts research in latent variable analysis with a particular emphasis on item response models and cognitive diagnosis models with applications in educational testing.
Wen-Chung Wang is chair professor of educational and psychological measurement at the Educational University of Hong Kong. His research interests include Rasch measurement, item response theory, computerized adaptive testing, diagnostic classification models, and ipsative data analysis.
Bibliographic Information
Book Title: Quantitative Psychology
Book Subtitle: The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016
Editors: L. Andries van der Ark, Marie Wiberg, Steven A. Culpepper, Jeffrey A. Douglas, Wen-Chung Wang
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-56294-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-56293-3Published: 07 June 2017
Softcover ISBN: 978-3-319-85879-1Published: 02 August 2018
eBook ISBN: 978-3-319-56294-0Published: 06 June 2017
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: IX, 430
Number of Illustrations: 25 b/w illustrations, 24 illustrations in colour
Topics: Statistics for Social Sciences, Humanities, Law, Psychometrics, Statistical Theory and Methods, Psychological Methods/Evaluation