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Suh, Youngsuk; Cho, Sun-Joo; Bottge, Brian A. – Grantee Submission, 2018
This article presents a multilevel longitudinal nested logit model for analyzing correct response and error types in multilevel longitudinal intervention data collected under a pretest-posttest, cluster randomized trial design. The use of the model is illustrated with a real data analysis, including a model comparison study regarding model…
Descriptors: Hierarchical Linear Modeling, Longitudinal Studies, Error Patterns, Change
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
Bottge, Brian A.; Cohen, Allan S.; Choi, Hye-Jeong – Exceptional Children, 2018
In this article, we describe results of a reanalysis of two randomized studies that tested the effects of enhanced anchored instruction (EAI) on the fractions computation performance of students in special education resource rooms and inclusive mathematics classrooms. Latent class analysis and latent transition analysis classified students…
Descriptors: Mathematics Instruction, Intervention, Resource Room Programs, Inclusion
Bottge, Brian A.; Cohen, Allan S.; Choi, Hye-Jeong – Grantee Submission, 2017
In this article, we describe results of a reanalysis of two randomized studies that tested the effects of enhanced anchored instruction (EAI) on the fractions computation performance of students in special education resource rooms and inclusive mathematics classrooms. Latent class analysis and latent transition analysis classified students…
Descriptors: Mathematics Instruction, Intervention, Resource Room Programs, Inclusion