XI Conference – European Congress of Methodology

Session

Symposium : "Advancing many groups comparisons: Mixture multigroup approach for latent variable analysis"

23 Jul 2025, 08:30

309. Mixture Multigroup Structural Equation Modeling: An empirical application revealing cross-national patterns in how human values predict climate change beliefs

23/07/2025, 08:30

Oral Presentation

The increasing accessibility of large-scale international surveys has provided new opportunities for social scientists to conduct comparative research. Such studies frequently examine relations between latent constructs (e.g., how perceived economic threat affects political ideology) and compare them across groups (e.g., countries) to reveal cultural variations in value priorities, attitudes...

310. Extending Mixture Multigroup Structural Equation Modeling to deal with ordinal variables

23/07/2025, 08:45

Oral Presentation

The recently proposed Mixture Multigroup Structural Equation Modeling (MMG-SEM) efficiently compares groups by clustering them based on their structural relations while accounting for the reality of measurement (non-)invariance. Currently, MMG-SEM relies on maximum likelihood (ML), which assumes continuous and normally distributed observed indicators. However, this can introduce bias when...

311. Evaluating the Efficacy of Mixture Multigroup Factor Analysis in Handling Non-Normal and Ordinal Data: A Simulation Study

23/07/2025, 09:00

Oral Presentation

In the social sciences, a common research objective is the comparison of latent variables among different groups, such as in cross-cultural studies. For making valid comparisons measurement invariance (MI) is required, which implies that constructs are measured consistently across populations. When dealing with many groups, MI often does not hold, requiring pairwise comparisons between the...

312. MixMG-SEM with double mixture modeling to capture similarities in measurement model and in structural relations across many groups

23/07/2025, 09:15

Oral Presentation

Comparing relations between latent constructs across groups is essential for understanding social phenomena in different contexts. A key assumption for valid comparisons of such relations is that the constructs are measured equivalently across the groups, referred to as “measurement invariance”. Specifically, partial metric invariance is sufficient –meaning that at least some factor loadings...

313. Evaluating (Mixture) Multigroup Structural Equation Modelling with Exploratory Measurement Models

23/07/2025, 09:30

Oral Presentation

Structural equation modelling (SEM) is the state-of-the-art method for analysing relations between latent variables (e.g., attitudes or behaviours), also called ‘factors’. SEM consists of a measurement model (MM), which specifies how questionnaire items measure the factors, and a structural model (SM), which captures the relations of interests. Traditionally, SEM estimates the MM and the SM...

314. Mixture Three-Step Latent Vector Autoregression to Find Individuals With Similar Dynamic Processes

23/07/2025, 09:45

Oral Presentation

Researchers often use vector autoregressive models to study dynamic processes of latent variables in daily life, such as the extent to which positive and negative affect carry over and interact with each other from one moment to the next. Mixture modeling allows finding clusters of individuals that are similar to each other in their dynamic processes. However, applying MMG-SEM to vector...

115. Advancing many groups comparisons: Mixture multigroup approach for latent variable analysis

Statistical analyses

Symposium