Overview
- Includes chapters written by leading experts and promising young researchers
- Addresses a diverse set of psychometric topics
- Features contributions by researchers from around the globe
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 393)
Included in the following conference series:
Conference proceedings info: IMPS 2021.
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Table of contents (24 papers)
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Front Matter
Other volumes
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Quantitative Psychology
Keywords
About this book
The volume represents presentations given at the 86th annual meeting of the Psychometric Society, held virtually on July 19–23, 2021. About 500 individuals contributed paper presentations, symposiums, poster presentations, pre-conference workshops, keynote presentations, and invited presentations. Since the 77th meeting, Springer has published the conference proceedings volume from this annual meeting to allow presenters to share their work and ideas with the wider research community, while still undergoing a thorough review process. This proceedings covers a diverse set of psychometric topics, including item response theory, Bayesian models, reliability, longitudinal measures, and cognitive diagnostic models.
Editors and Affiliations
About the editors
Dylan Molenaar is assistant professor at the department of psychology, University of Amsterdam, the Netherlands. His research interests include item response theory, factor analysis, response time modeling, mixture modeling, modeling of intelligence test data, and modeling of genotype by environmental interactions.
Jorge González is associate professor at the department of statistics, Pontificia Universidad Católica de Chile. His research interests include statistical modeling of social sciences data, particularly in the fields of educational measurement and psychometrics.
Jee-Seon Kim is professor in the department of educational psychology at the University of Wisconsin–Madison. Her research interests include multilevel and hierarchical modeling, longitudinal data analysis, latent variable modeling, and causal inference with clustered observational data.
Heungsun Hwang is professor in the department of psychology at McGill University. His research interests include multivariate statistics, machine learning, functional data analysis, and genetic and neuroimaging data analysis.
Bibliographic Information
Book Title: Quantitative Psychology
Book Subtitle: The 86th Annual Meeting of the Psychometric Society, Virtual, 2021
Editors: Marie Wiberg, Dylan Molenaar, Jorge González, Jee-Seon Kim, Heungsun Hwang
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-031-04572-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-04571-4Published: 13 July 2022
Softcover ISBN: 978-3-031-04574-5Published: 14 July 2023
eBook ISBN: 978-3-031-04572-1Published: 12 July 2022
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: IX, 330
Number of Illustrations: 20 b/w illustrations, 42 illustrations in colour
Topics: Applied Statistics, Psychometrics, Statistics, general, Psychological Methods/Evaluation