Rethinking Model Fit Guidelines for Longitudinal Structural Equation Modeling (LSEM) in Research on Youth.
Promotors: Rens van de Schoot (UU Methodology & Statistics), Gonneke Stevens (UU Interdisciplinary Social Science)
Co-promotors: Elizabeth M. Grandfield (UU Methodology & Statistics), Gaëlle Ouvrein (Free University Brussels)
Evaluating model fit is a key ingredient in (L)SEM. Commonly reported model-
fit indices are the CFI, TLI, and RMSEA. Current model-fit guidelines (Hu &Bentler, 1999) do not consider how certain model characteristics (number of indicators, measurement occasions and/or latent variables, reliability and distribution of indicators) influence model-fit indices (Fan & Sivo, 2007; Chen et al., 2008.; McNeish et al., 2018). This is particularly problematic in the context of developmental research, as designs in this area often involve many underlying social and environmental factors (e.g., Bowes et al., 2013. Smith et al., 2003; Zych et al., 2020). Relying on the current fit guidelines for drawing conclusions is therefore problematic.
I will keep updating this page as I progress with the dissertation.
Chapters
paper 1: A systematic review
paper 2: A simulation study
paper 3: TBA
paper 4: TBA
bonus paper 1: A tutorial paper with an accompanying R-script
Abandon All Thumbs Ye Who Model: An Up-to-Date Tutorial on Fitting CFA Models
Edita Chvojka 