Michael Matta earned his PhD in Clinical Psychology in 2018 at the University of Milano Bicocca. He is currently a Research Scientist at the University of Houston. His research focuses on the development, evaluation, and implementation of brief computer-based methods for the formative assessment of elementary students. He serves on the Editorial Advisory Board of the School Psychology Review and is an ad-hoc reviewer for other journals in the field of school psychology and education.
The writeAlizer R package (Mercer, 2020) has been developed to feasibly score timed writing samples composed by elementary students. It is intended to provide educators with valid and accurate scores for decisions about student risk status, monitor progress, and receive feedback on the effectiveness of classroom instruction. The presentation will review the existing literature on writeAlizer and include practical demonstrations on how to generate automated scores using free online resources.