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Lee LeBoeuf; Jacob Goldstein-Greenwood; Angeline S Lillard – Grantee Submission, 2023
Common methods of measuring discipline disproportionality can produce contradictory results and obscure base-rate information. In this paper, we show how using multilevel modeling to analyze discipline disparities resolves ambiguities inherent in traditional measures of disparities: relative rate ratios and risk differences. One previous study…
Descriptors: Discipline, Disproportionate Representation, Measurement Techniques, Hierarchical Linear Modeling
Angeline S. Lillard; Lee LeBoeuf; Corey Borgman; Elena Martynova; Ann-Marie Faria; Karen Manship – Grantee Submission, 2025
The CLASS-PreK instrument is widely used to evaluate early childhood classrooms, but how classrooms using Montessori, the world's most common alternative education system, fare on CLASS is understudied. Because CLASS focuses largely on teacher-child interactions as the situs of learning, but in Montessori theory, child-environment interactions are…
Descriptors: Montessori Method, Preschool Education, Classroom Environment, Teacher Student Relationship
Lee LeBoeuf; Jacob Goldstein-Greenwood; Angeline S. Lillard – Journal of Research on Educational Effectiveness, 2024
Common methods of measuring discipline disproportionality can produce contradictory results and obscure base-rate information. In this paper, we show how using multilevel modeling to analyze discipline disparities resolves ambiguities inherent in traditional measures of disparities: relative rate ratios and risk differences. One previous study…
Descriptors: Discipline, Disproportionate Representation, Measurement Techniques, Hierarchical Linear Modeling

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