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Measurement Issues (Table 9)
Sun, April 27, 11:40am to 1:10pm MDT (11:40am to 1:10pm MDT), The Colorado Convention Center, Floor: Ballroom Level, Four Seasons Ballroom 2-3Session Type: Roundtable Session
Abstract
This roundtable includes papers examining stability of factor structures, methods for identifying latent structures, assumptions on dimensionality, and assessing psychometric quality when measurement scales vary within study areas. Studies shared in this session include simulation as well as applied studies, with systematic review and re-analysis of individual-level meta-analytic data.
Sub Unit
Papers
Assessing the Stability of Factor Structures in Exploratory Factor Analysis via Parametric and Nonparametric Bootstrapping - Xinchang Zhou, University of Illinois at Urbana-Champaign; Yan Xia, University of Illinois at Urbana-Champaign
Comparing Network Community Detection and Factor Analysis by Analyzing Big Five Personality Traits - Jingyang Li, University of Georgia; Zhenqiu Laura Lu, University of Georgia; Pengsheng Ji, University of Georgia
Bifactor Model History: Unidimensionality Assumption and Group Factors. Does It Matter? - Eric Frenette, Universite Laval; Nadine Talbot, Université du Québec à Trois-Rivières; Sebastien Beland, University of Montréal; Marie-Helene Hebert, TELUQ University
Unpacking the Conflicting Conclusions of Meta-Analyses on Growth Mindset Interventions: The Influence of Measurement Scales on Study Outcomes - Xuefei Zou, University of Pennsylvania; Paul A. McDermott, University of Pennsylvania; Robert Boruch, University of Pennsylvania
The Use of Randomization Procedures in Single-Case Research Designs: A Systematic Literature Review - Aaron J. Mowery, Boise State University; Angus Kittelman, University of Missouri; Kathleen M. Conley, Boise State University; Sarah E. Quinn, Eastern Michigan University; Wenjing Bao, University of Oregon; Aaron R. Campbell, University of Missouri; Wendy Machalicek, University of Oregon