Project Activities
First, researchers applied psychometric methods to attempt to improve the reliability and validity of in-classroom observational measures of teaching, using academic and non-academic outcomes to gauge and to compare concurrent and predictive validity of the resulting models. Secondly, researchers determined whether the improvements yield advances in current research on teaching effectiveness, especially value-added modeling, by incorporating latent class assignment into prediction equations of teacher performance. Researchers used data from two frequently used teacher and classroom observation instruments, Danielson’s Framework for Teachers and the Classroom Assessment Scoring SystemTM (CLASSTM), in the development and testing of psychometric approaches that incorporate latent class analysis into value-added modeling.
People and institutions involved
IES program contact(s)
Products and publications
Journal article, monograph, or newsletter
Halpin, P.F., and Kieffer, M.J. (2015). Describing Profiles of Instructional Practice: A New Approach to Analyzing Classroom Observation Data. Educational Researcher, 44(5): 263-277.
Questions about this project?
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