Multi-factor modeling in individual differences research: Some recommendations and suggestions

By Gilles E. Gignac. 2007

131 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1dc56658691503d60f0a87fefc99cad03552733f

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In Computer Networks and Communications

In Management Science and Operations Research

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Citations in the corpus

Intrinsic Motivation Inventory: Psychometric Properties in the Context of First Language and Mathematics Learning (2015, methodology): “006), according to the criteria proposed by Gignac (2007). In relation to the specifi c subjects, Mathematics and Portuguese Language, there are slight differences.”
Progress Toward Construct Validation of the Sports Mental Toughness Questionnaire (SMTQ) (2009, background): “It has been strongly recommended that higher-order model solutions should be subjected to a SchmidLeiman transformation, prior to model solution interpretations (Gignac, 2007).”
Higher-order models versus direct hierarchical models: g as superordinate or breadth factor? (2008, methodology): “Previously, researchers such as Thurston, Humphreys and others could only favour one model over the other based on “non-scientific” preferences, such as ease of interpretation (an advantage that should nonetheless not be understated, Gignac, 2007a).”
The higher-order model imposes a proportionality constraint: That is why the bifactor model tends to fit better (2016, methodology): “To demonstrate the nature of the proportionality constraint imposed by the higher-order model, all of the indirect effects associated with the higher-order model solutions were first calculated via the Schmid– Leiman decomposition procedure (Gignac, 2007; Schmid & Leiman, 1957).”
A Bifactor Exploratory Structural Equation Modeling Framework for the Identification of Distinct Sources of Construct-Relevant Psychometric Multidimensionality (2016, background): “This second term is also a constant and reflects the unique part of the first-order factor that remains unexplained by the higher order factor (for examples, see Gignac, 2007; Jennrich & Bentler, 2011; Reise, 2012).”
The generality-specificity of creativity: Exploring the structure of creative potential with EPoC (2016, methodology): “Simply stated, SLT consists of multiplying the completely standardized second-order and correspondingfirst-order loadings to estimate the indirect effect of the second-order factor on each indicator (for more details on this procedure, see e.g., Brown, 2006; Gignac, 2007).”