Laura Salganik
Associated IES Content
Grant
Methods for Parameter Inference, Model Comparison and Incomplete Data in Complex Psychometric Models for NAEP Survey Data
This project sought to extend the work done by the co-PIs on increasing the efficient analysis (both computational and statistical) of the large-scale, multi-level National Assessment of Educational Progress (NAEP). This project used data from the 2005 NAEP math survey in order to address two issues: (1) determining the best fitting model; and (2) missing data in the teacher questionnaire.
Federal funding program:
Award number:
R305D110008