Email: irit dot aitkin AT unimelb.edu.au
CV
Murray and Irit Aitkin Statistical Modeling of the National Assessment of Educational Progress Springer 2011.
This book describes our joint contract work for the US National Center for Educational Statistics, on an integrated psychometric and statistical model for the large-scale NAEP surveys of the US Department of Education. The model incorporates the clustered survey design through multiple model levels, and allows for stratification and oversampling of minority ethnic groups. We allow for guessing through a two-class latent class model with different item parameters in the classes.
I have been working since 2003 with Murray Aitkin, in a series of research contracts with the US National Center for Education Statistics and several research grants from the Institute of Education Sciences, on the development and implementation of fully model-based approaches to the analysis of the large-scale US National Assessment of Educational Progress (NAEP) surveys of primary and high-school students' achievement. We have developed multi-level model-based approaches for the clustered and stratified survey designs, examined alternative distributions for the latent ability, and formulated alternative latent class models for guessing, or "engagement" on the test items. For each of these developments, we have compared the results of the model-based approach with the current methods of analysis using both simulated and actual NAEP data.
US Department of Education 2003-2014
School of Mathematics and Statistics home page
Last modified:
Mon Feb 25 2024