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About IES

Michael Seltzer

Associated IES Content

Grant

Non-Linear Multilevel Latent Variable Modeling with a Metropolis-Hastings Robbins-Monro Algorithm

The goal of this project was to bring together the benefits of multilevel modeling and latent variable modeling. To do so, the project proposed a flexible nonlinear multilevel latent variable modeling framework under which: (1) random effects and latent variables are treated synonymously because both represent unobserved heterogeneity; (2) a nonlinear random effect regression model permits the specification and testing of important structural relations (e.g. mediation or moderation effects) ...
Federal funding program:
Statistical and Research Methodology in Education
Award number:
R305D100039

FY2010 IES Peer Reviewers

FY2010 IES Research Peer Review Panel

FY2009 IES Peer Reviewers

FY2009 IES Research Peer Review Panel

FY2006 IES Peer Reviewers

FY2006 IES Peer Reviewers
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