Education and the Measurement of Behavioral Change

The role of measurement in relation to broad purposes of education is examined. Behavior is both an observable input and a target of inference in educational measurement contexts, with generalizations about behavior resting on both validity theory and statistics. A formal treatment of behavior is presented and related to both foundational measurement concepts and contemporary topics, including alignment (e.g., of assessments with instruction) and machine learning (e.g., for predicting outcomes). Opportunities for advancing the contributions of measurement to education, as well as potentially fruitful avenues for research and development will be discussed.

Richard Patz is a visiting scholar conducting research in educational measurement. He earned a doctoral degree in statistics at Carnegie Mellon University and has held a variety of scientific and executive roles in testing organizations. He recently served ACT in several capacities, including chief measurement officer and CEO of its assessment technologies subsidiary. Richard has published research on statistical methods for item response data, assessment design & development, and measurement technology. His talk is based on his presidential address to the National Council on Measurement in Education.

Tuesday, September 5, 2017 - 2:00pm
PDF icon Patz presentation483.97 KB