Quantitative Psychology

The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016

430 Seiten, Hardcover

Kurzbeschreibung des Verlags

This proceedings volume compiles and expands on selected and peer reviewed presentations given at the 81st Annual Meeting of the Psychometric Society (IMPS), organized by the University of North Carolina at Greensboro, and held in Asheville, North Carolina, July 11th to 17th, 2016

.



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).

• Reihe: Springer Proceedings in Mathematics & Statistics
• ISBN: 9783319562933
• Sprache: Englisch
• Erscheinungsdatum: 07.06.2017
• Genre: Soziologie/Methoden der empirischen und qualitativen Sozialforschung
• Verlag: Springer International Publishing
• Herausgegeben von: L. Andries van der Ark, Marie Wiberg, Steven A. Culpepper, Jeffrey A. Douglas, Wen-Chung Wang