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Gina Biancarosa has a wide range of methodological expertise, including, but not limited to: research design, hierarchical linear modeling, longitudinal growth modeling, Rasch and IRT models, and value-added modeling. Her current research focuses on the validation of a computer-adaptive edition of MOCCA (, a unique, online, diagnostic assessment of reading comprehension. She also maintains two student-oriented research seminars: one focused on reading comprehension and one focused on DIBELS 8th Edition and reading CBM practices.