The Rediscovery of Bifactor Measurement Models

By S. Reise. 2012

1,970 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Experimental and Cognitive Psychology, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/5972a15f6a34b60d16a0a48d02b7e23be6e5736a

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In Computer Networks and Communications

In Experimental and Cognitive Psychology

In Management Science and Operations Research

Citations in the corpus

Best Alternatives to Cronbach's Alpha Reliability in Realistic Conditions: Congeneric and Asymmetrical Measurements (2016, background): “…to carry out further research to evaluate the functioning of the various reliability coefficients with more complex multidimensional structures (Reise, 2012; Green and Yang, 2015) and in the presence of ordinal and/or categorical data in which non-compliance with the assumption of normality is…”
The psychometric assessment of alexithymia: Development and validation of the Perth Alexithymia Questionnaire (2018, background): “There was therefore statistical support for the presence of a strong “general alexithymia” factor, as well as statistical support for five narrow factors reflecting the subdomains (i.e., the subscales) of the multidimensional alexithymia construct (Reise, 2012).”
Psychometric Properties of the Penn Computerized Neurocognitive Battery (2014, positive): “Another convenient development in methodology that will help with the exploration of validity is the recent adoption by many researchers of the bifactor model itself (See Reise, 2012).”
Are Fit Indices Biased in Favor of Bi-Factor Models in Cognitive Ability Research?: A Comparison of Fit in Correlated Factors, Higher-Order, and Bi-Factor Models via Monte Carlo Simulations (2015, methodology): “Thus, the correlated factors model can be derived from a bi-factor model by constraining the general factor loadings to zero and relaxing the orthogonality constraint on the first-order factors [25].”
Applying Bifactor Statistical Indices in the Evaluation of Psychological Measures (2016, background): “We primarily considered the bifactor model, which, although increasingly common (Reise, 2012), remains relatively rare.”
The Transportation Scale–Short Form (TS–SF) (2015, methodology): “Thus, the BFM allows us to more directly investigate the amount of shared variance in each item due to the general and domain-specific factors (for an in-depth discussion of BFM in the area of personality research, see Reise, 2012).”
Critical Values for Yen’s Q3: Identification of Local Dependence in the Rasch Model Using Residual Correlations (2017, positive): “Other approaches include using testlet models (Wang & Wilson, 2005; Wilson & Adams, 1995) or a bifactor model (Reise, 2012).”
Riskier Tests of the Validity of the Bifactor Model of Psychopathology (2019, background): “Such findings are more consistent, rather, with the p factor reflecting an amalgam of differentially weighted and psychologically distinct sources of variance (Krueger et al., 2018; Reise, 2012).”
Conceptualizing and testing a new tripartite measure of coach interpersonal behaviors (2019, methodology): “It is also important to test bifactor models (Holzinger & Swineford, 1937; Reise, 2012) in examining interpersonal behaviors.”
Evidence of a continuum structure of academic self-determination: A two-study test using a bifactor-ESEM representation of academic motivation (2017, background): “Despite its appeal, this approach relies on a restrictive implicit assumption – a proportionality constraint – that could explain why higher-order models often show poor fit indices (Gignac, 2016; Morin et al., 2016a; Reise, 2012).”
The higher-order model imposes a proportionality constraint: That is why the bifactor model tends to fit better (2016, background): “…bifactor model appears to have become embraced in the area of psychometrics and personality in recent years (Chen, Hayes, Carver, Laurenceau, & Zhang, 2012; Gibbons et al., 2007; Gruhl, Erosheva, & Crane, 2013; Morin, Arens, & Marsh, in press; Reise, 2012; Rodriguez, Reise, &Haviland, in press).”
TIMSS and PIRLS 2011: Relationships among Reading, Mathematics, and Science Achievement at the Fourth Grade--Implications for Early Learning. (2013, methodology): “These modeling approaches are referred to as “bi-factor models” (e.g., Reise, 2012) or as “nested-factor models” (Gustafsson & Balke, 1993).”
John Carroll’s Views on Intelligence: Bi-Factor vs. Higher-Order Models (2015, methodology): “As the SLT just re-expresses the factor loadings from a higher-order factor model in a form that highlights the relation of the MVs to g and R, the resulting loadings from the SLT are still estimates derived from a higher-order model [53].”
Complementary Variable- and Person-Centered Approaches to the Dimensionality of Psychometric Constructs: Application to Psychological Wellbeing at Work (2016, methodology): “, corresponding to b/c), and unlikely to hold in real life (Reise 2012; Yung et al. 1999).”
The forest and the trees: Examining the association of self-compassion and its positive and negative components with psychological functioning (2018, background): “Neff, Whittaker and Karl (2017) have argued that a bifactor approach (Reise, 2012) – which models the association of SCS items with the six specific factors of self-compassion and a general factor simultaneously – is more consistent with a systems-view of self-compassion.”
What Can Student Perception Surveys Tell Us About Teaching? Empirically Testing the Underlying Structure of the Tripod Student Perception Survey (2016, background): “Bifactor models have been rediscovered as a viable alternative structural representation of multiple types of higher order and multidimensional factor structures (Reise, 2012).”