Irini Moustaki

Irini Moustaki is a full-time Professor in Social Statistics at the Department of Statistics, London School of Economics and Political Science. Her work focuses on latent variable models, structural equation models, and categorical data analysis with applications in education, psychology, and social sciences. She has co-authored influential books such as Latent Variable Models and Factor Analysis: A Unified Approach (2011) and Analysis of Multivariate Social Science Data (2008).

• Research Interests: Latent variable models, structural equation modeling, categorical data analysis, missing values, outliers, longitudinal data, composite likelihood estimation, and applications in social sciences.

Recent research trends include:

• Composite likelihood and stochastic approximation methods
• Bayesian structural equation modeling
• Outlier detection in latent variable frameworks
• Network meta-analysis for intervention hierarchies
• Advances in DIF analysis and sparse factor modeling

Scientific Awards:

• Honorary Doctorate, University of Uppsala
• Honorary Professor, The Education University of Hong Kong
• LSE Excellence in Education Award

Advising & Grants: Supervised 8 PhD students and contributed to major grants from ESRC, MRC, and British Academy. Key roles in editorial boards of Psychometrika, Computational Statistics and Data Analysis, and Structural Equation Modeling.