Quantitative Psychology

The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023

von

Wiberg, MarieKim, Jee-SeonHwang, HeungsunHrsg.Wu, HaoHrsg.Sweet, TracyHrsg.

BuchGebunden

EUR240,00

BuchabEUR120,00

E-BookabEUR106,99

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Produktbeschreibung

This book includes presentations given at the 88th annual meeting of the Psychometric Society, held in Maryland, USA on July 24-28, 2023.

The proceeding covers a diverse set of psychometric topics. The topics include, but are not limited to item response theory, cognitive diagnostic models, Bayesian estimation, validity and reliability issues, and several applications within different fields. The authors are from all over the world, they work in different psychometrics areas, as well as having diverse professional and academic experiences.

Details

ISBN/GTIN978-3-031-55547-3

ProduktartBuch

EinbandGebunden

VerlagSpringer

ErscheinungsortCham

ErscheinungslandSchweiz

Erscheinungsdatum19.06.2024

Auflage2024

ReiheSpringer Proceedings in Mathematics & Statistics

Seiten395 Seiten

SpracheEnglisch

Illustrationen24 s/w Abbildungen, 57 farbige Abbildungen

Artikel-Nr.28116936

KatalogVLB

Datenquelle-Nr.337ab37093b44612982c21e78e9168b6

WarengruppeNaturwissenschaften, Medizin, Informatik, Technik | Mathematik | Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Weitere Details

Reihe

Semigroups, Algebras and Operator Theory

Operational Research

Mathematical Methods for Engineering Applications

Differential Geometric Structures and Applications

Advances in Ring Theory and Applications

Accelerating Discoveries in Data Science and Artificial Intelligence II

Difference Equations, Discrete Dynamical Systems and Applications

Advances in Machine Learning and Big Data Analytics II

Advances in Machine Learning and Big Data Analytics I

The Bergman Kernel and Related Topics

Combinatorial and Additive Number Theory V

Combinatorics, Graph Theory and Computing

Mathematical Modeling in Physical Sciences

Functor Categories, Model Theory, Algebraic Analysis and Constructive Methods

New Trends in the Applications of Differential Equations in Sciences

Mathematical Physics and Its Interactions

Stochastic Processes, Statistical Methods, and Engineering Mathematics

Lie Theory and Its Applications in Physics

Frontiers in Industrial and Applied Mathematics

Operational Research

New Frontiers of Celestial Mechanics: Theory and Applications

Studies in Theoretical and Applied Statistics

Models for Data Analysis

Quantitative Psychology

Advanced Computational Applications of Geometric Algebra

Perspectives in Dynamical Systems II - Numerical and Analytical Approaches

Perspectives in Dynamical Systems I - Applications

Mathematical Methods for Engineering Applications

Soft Computing and Optimization

Mathematics and Computing

New Trends in the Applications of Differential Equations in Sciences

Applied and Computational Mathematics

Continuum Models and Discrete Systems

Discrete Mathematics and Mathematical Modelling in the Digital Era

Nonlinear and Modern Mathematical Physics

Advances in Discrete Dynamical Systems, Difference Equations and Applications

Quantum and Stochastic Mathematical Physics

Decision Mathematics, Statistical Learning and Data Mining

Monte Carlo and Quasi-Monte Carlo Methods

Combinatorics, Graph Theory and Computing

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Autor/in

Wiberg, MarieKim, Jee-SeonHwang, HeungsunHrsg.Wu, HaoHrsg.Sweet, TracyHrsg.

Marie Wiberg is professor in Statistics with specialty in psychometrics at Umeå University in Sweden. Her research interests include test equating, applied statistics, parametric and nonparametric item response theory, large-scale assessments and educational measurement and psychometrics in general.

Jee-Seon Kim is a professor in the Department of Educational Psychology at the University of Wisconsin-Madison. Her research interests are concerned with the development and application of quantitative methods in the social and behavioral sciences, focusing on causal inference, heterogeneous treatment effects, omitted variable bias, multilevel models and clustered data analysis, latent variable and mixture modeling, and causal machine learning methods.

Heungsun Hwang is Professor of Quantitative Psychology at McGill University in Canada. His research is devoted to the development of quantitative analytics tools for examining complex relationships of various data from psychology and other disciplines toward a better understanding of human behaviour and cognition. Methodologically, he is interested in a wide array of statistical methods in multivariate statistics, structural equation modeling, machine learning, functional data analysis, and genetic and neuroimaging data analysis.

Hao Wu is an associate professor of Quantitative Methods in Department of Psychology and Human Development of Vanderbilt University. His research focuses on the evaluation of statistical models used in psychology and education, especially structural equation models. This includes identifiability, the quantification of various sources of uncertainty, model fit and effect size. His research interest also includes robust and nonparametric methods.

Tracy Sweet is Associate Professor in the Measurement, Statistics and Evaluation program in the Department of Human Development and Quantitative Methodology. Her research focuses on methods for social network analysis with particular focus on multilevel social network models. Recent projects include network interference, measurement error, and missing data.