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Kim, Young-Suk Grace – Grantee Submission, 2022
This article presents the application of the interactive dynamic literacy (IDL) model (Kim, 2020a) toward understanding difficulties in learning to read and write. According to the IDL model, reading and writing are part of communicative acts that draw on largely shared processes and skills as well as unique processes and skills. As such, reading…
Descriptors: Literacy, Models, Reading Skills, Writing Skills
Lemons, Christopher J.; Vaughn, Sharon; Wexler, Jade; Kearns, Devin M.; Sinclair, Anne C. – Grantee Submission, 2018
In "Endrew F. v Douglas County School District RE-1," the U.S. Supreme Court affirmed the requirement that schools provide special education services designed to confer education benefit that is more than de minimus. "Endrew" offers an opportunity for the special education community to consider whether students with learning…
Descriptors: Special Education, Student Needs, Court Litigation, Learning Disabilities
An Application of a Random Mixture Nominal Item Response Model for Investigating Instruction Effects
Choi, Hye-Jeong; Cohen, Allan S.; Bottge, Brian A. – Grantee Submission, 2016
The purpose of this study was to apply a random item mixture nominal item response model (RIM-MixNRM) for investigating instruction effects. The host study design was a pre-test-and-post-test, school-based cluster randomized trial. A RIM-MixNRM was used to identify students' error patterns in mathematics at the pre-test and the post-test.…
Descriptors: Item Response Theory, Instructional Effectiveness, Test Items, Models
Cho, Sun-Joo; Cohen, Allan S.; Bottge, Brian – Grantee Submission, 2013
A multilevel latent transition analysis (LTA) with a mixture IRT measurement model (MixIRTM) is described for investigating the effectiveness of an intervention. The addition of a MixIRTM to the multilevel LTA permits consideration of both potential heterogeneity in students' response to instructional intervention as well as a methodology for…
Descriptors: Intervention, Item Response Theory, Statistical Analysis, Models