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Choosing the Optimal Number of Factors in Exploratory Factor Analysis: A Model Selection Perspective
Peer reviewed
Direct linkPreacher, Kristopher J.; Zhang, Guangjian; Kim, Cheongtag; Mels, Gerhard – Multivariate Behavioral Research, 2013
A central problem in the application of exploratory factor analysis is deciding how many factors to retain ("m"). Although this is inherently a model selection problem, a model selection perspective is rarely adopted for this task. We suggest that Cudeck and Henly's (1991) framework can be applied to guide the selection process.…
Descriptors: Factor Analysis, Models, Selection, Goodness of Fit
Wren, David; Barbera, Jack – Chemistry Education Research and Practice, 2014
Assessing conceptual understanding of foundational topics before instruction on higher-order concepts can provide chemical educators with information to aid instructional design. This study provides an instrument that can be used to identify students' alternative conceptions regarding thermochemistry concepts. The Thermochemistry Concept Inventory…
Descriptors: Psychometrics, Thermodynamics, Chemistry, Item Response Theory
