Profile

Gina Biancarosa has a wide range of methodological expertise, including, but not limited to: research design, hierarchical linear modeling, longitudinal growth modeling, and Rasch and IRT models. Her current research focuses on the validation of a computer-adaptive edition of MOCCA (https://blogs.uoregon.edu/mocca/), a unique, online, diagnostic assessment of reading comprehension. She also maintains a student-oriented research seminars: one focused on measurement of reading processes and skills. This seminar focuses largely on understanding national trends in reading, innovative measurement of reading, and the continued validation of DIBELS 8^th Edition (https://dibels.uoregon.edu/).