Bayesian Estimation of Multilevel Models
By E. Hamaker, Irene Klugkist. 2010
47 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e9cd998f70ae2e0a061473cc959d0c46e78cd3fa
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In Statistics and Probability
- Amber McEnturff
- Wen Luo
- Steffen Zitzmann
- Ryan Glaman
- Alexander Robitzsch
- Herbert W. Marsh
- Gregory Palardy
- Qi Chen
Citations in the corpus
- Globalization, immigration and national identity: How the level of globalization affects the relations between nationalism, constructive patriotism and attitudes toward immigrants? (2012, background): “However, since the relatively small number of countries might bias the results, Bootstrapping (Goldstein, 2011) and Bayesian (Hamaker & Klugkist, 2011) estimation was applied.”
- The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored (2017, methodology): “In addition, Bayesian analysis with a specific prior distribution allows model selection using posterior model probabilities or the Bayes factor (Hamaker & Klugkist, 2011).”
- A Bayesian Approach for Estimating Multilevel Latent Contextual Models (2016, methodology): “…of Prior Distributions Bayesian approaches have recently received considerable attention in the literature on MLM (e.g., Gelman & Hill, 2007; Hamaker & Klugkist, 2011; Zhang, Hamagami, Wang, Nesselroade, & Grimm, 2009), SEM (e.g., Arminger & Muthén, 1998; Kaplan & Depaoli, 2012; Lee, 2007;…”