Communicating Complex Psychometric Information to Teachers, Parents, and Other Less Technical Audiences

This three-part symposium presents a series of ideas for communicating psychometric methods and their results to audiences with little or no psychometric training. Such audiences may include the typical school audiences of teachers, students, and parents, but also may include district and state personnel who may need to understand the results of an assessment program. The symposium begins with a description of a philosophical and methodological approach to communicating complex psychometric information. The ensuing presentations demonstrate examples of this approach: methods for including early childhood educators in an empirically based system for setting Kindergarten readiness standards, and score reports designed for (a) parents and teachers of children in infant-toddler, preschool, and Kindergarten programs and (b) legislators and personnel in the Department of Education. The ideas and approaches in this symposium demonstrate that good communication of complex psychometric information is an important aspect of assessment systems that serve the needs of multiple stakeholders and ultimately support teaching and learning.

Perman Gochyyev is currently a research psychometrician at the BEAR Center, University of California, Berkeley. Perman received his PhD in Quantitative Methods and Evaluation from UC Berkeley in 2015. His research focuses on latent variable and multilevel modeling, multidimensional and ordinal IRT models, latent class models, and issues related to causal inference in behavioral statistics.

Karen Draney is an associate adjunct professor at Graduate School of Education and associate director of BEAR Center, University of California, Berkeley. Karen received her PhD in Education from UC Berkeley in 1996. Her research focuses on the development of assessment for, and the analysis of data from, complex educational and psychological issues.

Joshua Sussman is a postdoctoral scholar at the BEAR Center, University of California, Berkeley. His research focuses on applied educational measurement, such as the validity of outcome measures in evaluations of curricular effectiveness, communication of complex psychometric information to stakeholders, and the construction of new assessments in areas such as early childhood development. He received his PhD in School Psychology from UC Berkeley in 2016, supported by an Institute of Education Sciences Predoctoral Fellowship in the Research in Cognition and Mathematics Education program.

Tuesday, March 20, 2018 - 2:00pm