Poster Paper:
Identifying Magnet School Profiles in North Carolina: A Mixture Modeling Approach
*Names in bold indicate Presenter
This study employs unique longitudinal data from North Carolina to understand the heterogeneity in the magnet sector through the identification of different types, or “profiles” of magnet schools. For instance, we might imagine that schools with a strong thematic focus that are co-located in diverse schools may differ from magnet schools with low thematic emphasis and a separate building, and that these profiles have salience for the demographic composition of the school and the educational and social outcomes of their students. To identify these profiles, we employ latent profile analysis (LPA), an individual- (here, school-) centered latent variable measurement modelling technique that empirically identifies distinct subpopulations within a larger population (Vermunt & Magidson, 2002). LPA is not often seen in policy analysis but is well-suited to the task of identifying meaningful patterns in the clearly varied magnet school sector.
The importance of this work, in light of the demonstrated recent growth of magnet schools and federal interest in school choice policies, is clear. We contribute a first look at the types of magnet schools that exist in North Carolina, and suggestive evidence of the profiles of schools that foster the most diverse learning environments and where students are experience the most success.