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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
Download full textMatijevic, Milan; Opic, Siniša – Online Submission, 2016
In Croatian classrooms it is possible to observe teaching scenarios that follow the features of constructivist and traditional teaching theories and many variants and combinations of teaching didactics that are student centered and those that are teacher centered. Teachers struggle to find their way in the selection and design of a media…
Descriptors: Foreign Countries, Predictor Variables, Instructional Design, Educational Environment
