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Session Type: Symposium
This symposium brings together four papers that each provide an introductory overview and application of a novel methodological approach. The collection includes a diverse set of educational researchers. This symposium aims to provide a non-technical introduction to the research approach that has the promise to provide a more nuanced look into special education data. The flexibility of the mixture modeling framework is well suited to address questions of heterogeneity in special education research and perhaps provide a perspective that may more closely tied to perspective shared among researchers in this area.
Promise of Mixture Modeling to Disability Research - Karen L. Nylund-Gibson, University of California - Santa Barbara
An Application of Mixture Modeling in Reading Disabilities Research - Ryan Grimm, SRI International
Typologies of Autism: The Utility of Latent Class Analysis to Understand Heterogeneity in Social Responsiveness - Adam Garber, University of California - Santa Barbara; Mian Wang, University of California - Santa Barbara; Karen L. Nylund-Gibson, University of California - Santa Barbara
Understanding Patterns of Social-Emotional Strengths Across Students With and Without Disabilities: Different, Not Worse - Delwin Carter, University of California - Santa Barbara; Adam Garber, University of California - Santa Barbara; Karen L. Nylund-Gibson, University of California - Santa Barbara; Erin Dowdy, University of California - Santa Barbara; Michael James Furlong, University of California - Santa Barbara