Evaluating bifactor models: Calculating and interpreting statistical indices.

By Anthony Rodriguez, S. Reise, Mark G. Haviland. Psychological methods, 2016

1,352 citations recorded by the source corpus.

Subfields: Clinical Psychology, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/5731cc8f06e9cb5d256b52c8721744926e37b173

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

In Experimental and Cognitive Psychology

Citations in the corpus

Three Concerns With Applying a Bifactor Model as a Structure of Psychopathology (2017, background): “(2016a) present a practical guide to several psychometrically informative bifactorderived statistics that are easy to calculate (see also Rodriguez et al., 2016b).”
Riskier Tests of the Validity of the Bifactor Model of Psychopathology (2019, background): “We reported H, which assesses construct replicability (reliability) of latent factors in a structural equation modeling context (Hancock & Mueller, 2001; Rodriguez et al., 2016).”
An Updated Guideline for Assessing Discriminant Validity (2020, methodology): “…rather supports any statistical technique including more complex factor structures (Asparouhov et al., 2015; Marsh et al., 2014; Morin et al., 2017; Rodriguez et al., 2016) and nonlinear models (Foster et al., 2017; Reise & Revicki, 2014) as long as these techniques can estimate correlations that…”
Measuring Cultural Competencies: The Development and Validation of a Revised Measure of Sociocultural Adaptation (2017, background): “Furthermore, we report four indices that aid in the interpretation of bifactor models (Rodriguez et al., 2016).”
Factor Structure of the Difficulties in Emotion Regulation Scale (DERS) in Adult Outpatients Receiving Dialectical Behavior Therapy (DBT) (2017, background): “Specifically, Reise and colleagues (2012; Rodriguez et al. 2016a, b) have described four forms of the omega coefficient (ω) (McDonald 1999; Zinbarg et al. 2005) that suit this aim.”
An examination of the underlying dimensional structure of three domains of contaminated mindware: paranormal beliefs, conspiracy beliefs, and anti-science attitudes (2020, neutral): “…and anti-science factors had omegas of .88 and .79, respectively, indicating that the three general factors account for a large proportion of reliable variance in the sum of their respective items 2 (see Rodriguez et al., 2016, for a discussion of the interpretation of these omega indices).”
A journey around alpha and omega to estimate internal consistency reliability (2017, background): “…(2012) reliability and criterion related validity of multidimensional scales; Cho (2016) the coefficient omega in several multidimensional models for quantitative data; or Rodríguez, Reise, and Haviland (2016) how to calculate and interpret reliability coefficients derived from bifactor models.”