Quantitative Psychology (eBook)

83rd Annual Meeting of the Psychometric Society, New York, NY 2018

Marie Wiberg, Steven Culpepper, Rianne Janssen, Jorge González, Dylan Molenaar (Herausgeber)

eBook Download: PDF

2019 | 1st ed. 2019
X, 459 Seiten
Springer International Publishing (Verlag)
978-3-030-01310-3 (ISBN)

Infos

This proceedings volume highlights the latest research and developments in psychometrics and statistics. This book compiles and expands on selected and peer reviewed presentations given at the 83rd Annual International Meeting of the Psychometric Society (IMPS), organized by Columbia University and held in New York, USA July 9th to 13th, 2018.

The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. The last couple of years it has attracted more than 500 participants and more than 250 paper presentations from researchers around the world.

Leading experts in the world and promising young researchers have written the 38 chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 7th in a series of recent volumes to cover research presented at the IMPS.

Marie Wiberg is Professor of Statistics with a specialty in psychometrics at Umeå University, Sweden. Her research interests include test equating, applied statistics, large-scale assessments and psychometrics in general.

Steven Culpepper is Associate Professor at the Department of Statistics, University of Illinois at Urbana-Champaign. His research interests include Bayesian statistics, cognitive diagnosis, large-scale assessments and psychometrics in general.

Rianne Janssen is Associate Professor at the Faculty of Psychology and Educational Sciences, KU Leuven in Belgium. She is chiefly interested in educational measurement and psychometrics, especially for applications in large-scale student assessments.

Jorge González is Associate Professor at the Faculty of Mathematics, Pontificia Universidad Católica de Chile. His research interests include statistical modeling of social sciences data, particularly in the fields of educational measurement and psychometrics.

Dylan Molenaar is Assistant Professor at the Department of Psychology, University of Amsterdam, the Netherlands, where he received his PhD degree in Psychology in 2012 for a thesis on 'Testing distributional assumptions in psychometric measurement models with substantive applications in psychology.' His research interests include item response theory, factor analysis, response time modeling, mixture modeling, modeling of intelligence test data, and modeling of genotype by means of environmental interactions.

Produkt-Details

• Erscheint lt. Verlag: 17.5.2019
• Reihe/Serie: Springer Proceedings in Mathematics & Statistics
• Reihe/Serie: Springer Proceedings in Mathematics & Statistics
• Zusatzinfo: X, 459 p. 96 illus., 58 illus. in color.
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Psychologie ► Test in der Psychologie
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Schlagworte: Assessment • Bayesian estimation • Bayesian non-parametric model • classification • cognitive diagnostic models • Computerized adaptive testing • Confirmatory factor analysis • Correlation Analysis • Differential Item Functioning • Error Analysis • finite mixture modelling • Item response theory • Markov Chain Monte Carlo • Multistage Adaptive Testing • optimal scoring • Psychometrics • psychometric society • Structural Equation Modeling • subscore reliability • Thurstone scaling
• ISBN-10: 3-030-01310-3 / 3030013103
• ISBN-13: 978-3-030-01310-3 / 9783030013103