Category: Measurement Invariance

Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance

Measurement invariance (MI) is a pre-requisite for comparing latent variable scores across groups. The current paper introduces the concept of approximate MI building on the work of Muthén and Asparouhov and their application of Bayesian Structural Equation Modeling (BSEM) in the software Mplus.

A checklist for testing measurement invariance

The analysis of measurement invariance of latent constructs is important in research across groups, or across time. By establishing whether factor loadings, intercepts and residual variances are equivalent in a factor model that measures a latent concept, we can assure that comparisons that are made on the latent variable are valid across groups or time.

Friends and Family Interview: Measurement invariance across Belgium and Romania

The Friends and Family Interview (FFI; Steele & Steele, 2005 Steele, H. and Steele, M. 2005. The construct of coherence as an indicator of attachment security in middle childhood: The Friends and Family Interview, New York, NY: Guilford Press), a semi-structured interview assessing attachment representations, is used in the context of an international research project.

Prolonged Grief Disorder, depression, and posttraumatic stress-disorder are distinguishable syndromes

This study examined the distinctiveness of symptoms of Prolonged Grief Disorder (PGD), depression, and posttraumatic stress disorder (PTSD). We compared the fit of a one-factor model with the fit of four hierarchical models in which symptoms formed three distinct correlated higher-order dimensions, and PTSD-items were modeled in different ways.