Gerhard Hellemann, PhD, is Assistant Professor of Statistics in UCLA’s Semel Institute for Neuroscience and Human Behavior and a senior faculty consultant in the Semel Institute Biostatisticas Core (SIStat). He received his Ph.D. in Quantitative Psychology from UCLA. His background is in psychometrics and he has substantial expertise with measurement issues, scale development, and reliability and validity testing. His primary methodological interests are in path analysis, structural equation modeling (SEM) and longitudinal data analysis. In particular, he is interested in the evaluation of group differences in high-dimensional structured data, including non-parametric and semi-parametric approaches to clustering and multi-group comparisons in SEM. His applications work has focused on longitudinal data analysis, specifically using latent growth curve and mixed model approaches, and he has collaborated extensively with the autism research group at UCLA.
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