Identification and Interpretation of the Completely Oblique Rasch Bifactor Model
Abstract Bifactor Item Response Theory (IRT) models are the usual option for modeling composite constructs. However, in application, researchers typically must assume that all dimensions of person parameter space are orthogonal. This can result in absurd model interpretations.
Denis Federiakin, Mark R. Wilson
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Psychological distress: Bifactor modeling of the DASS-21 in Chilean healthcare workers. [PDF]
Güilgüiruca-Retamal M +4 more
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Psychometric properties of hierarchical psychiatric symptoms on the general population. [PDF]
Soda T +6 more
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Evaluating the inter-relationships among depression, anxiety and somatic symptoms in haemodialysis patients: a cross-sectional structural equation modelling study. [PDF]
Krishna A +6 more
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The Latent Structure of Depression and Anxiety Symptoms: A Bifactor Exploratory Structural Equation Model of the PHQ-9 and GAD-7 in Primary Care. [PDF]
Esteller-Collado G +9 more
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Assessing the Psychometric Properties of the Child Behaviour Checklist in the ABCD Study. [PDF]
Pavlovich K +3 more
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Psychometric evaluation of the regulatory emotional self-efficacy scale in China: evidence for a bifactor approach. [PDF]
Xu L +5 more
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Management researchers often use structural equation modeling to analyze data from questionnaire-based instruments. Usually, confirmatory factor analysis (CFA) is applied to confirm the hypothesized or theorized factor structure of the instrument.
Theophilus Ehidiamen OAMEN
doaj
Psychometric evaluation of the DSM-5-TR-Level 1 Cross-Cutting Symptom Measure: transdiagnostic factor analysis in a real-world psychiatric outpatient sample. [PDF]
MacMillan C +5 more
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Psychometric evaluation of the patient health questionnaire-9 in helping professionals: factor structure, gender invariance, and construct validity. [PDF]
Greškovičová K +3 more
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