Struct Equ Modeling
February 2024
We present a bias-adjusted three-step estimation approach for multilevel latent class models (LC) with covariates. The proposed approach involves (1) fitting a single-level measurement model while ignoring the multilevel structure, (2) assigning units to latent classes, and (3) fitting the multilevel model with the covariates while controlling for measurement error introduced in the second step. Simulation studies and an empirical example show that the three-step method is a legitimate modeling option compared to the existing one-step and two-step methods.
View Article and Find Full Text PDFPsychometrika
December 2023
We propose a two-step estimator for multilevel latent class analysis (LCA) with covariates. The measurement model for observed items is estimated in its first step, and in the second step covariates are added in the model, keeping the measurement model parameters fixed. We discuss model identification, and derive an Expectation Maximization algorithm for efficient implementation of the estimator.
View Article and Find Full Text PDFThe literature on political parties suggests that strong partisan identities are associated with citizens' effective interaction with the political system, and with higher levels of political trust. Traditionally, party identity therefore is seen as a mechanism that allows for political integration. Simultaneously, however, political parties have gained recent attention for their role in promoting societal polarization by reinforcing competing and even antagonistic group identities.
View Article and Find Full Text PDFScholars have recognized that a recent increase in the ways citizens participate beyond the electoral arena may be a promising avenue of renewal for citizen participation. In this article we test the theory that different kinds of citizenship norms motivate some citizens to specialize in electoral-oriented activities (e.g.
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