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Direct linkPokropek, Artur – Sociological Methods & Research, 2015
This article combines statistical and applied research perspective showing problems that might arise when measurement error in multilevel compositional effects analysis is ignored. This article focuses on data where independent variables are constructed measures. Simulation studies are conducted evaluating methods that could overcome the…
Descriptors: Error of Measurement, Hierarchical Linear Modeling, Simulation, Evaluation Methods
Deering, Pamela Rose – ProQuest LLC, 2014
This research compares and contrasts two approaches to predictive analysis of three years' of school district data to investigate relationships between student and teacher characteristics and math achievement as measured by the state-mandated Maryland School Assessment mathematics exam. The sample for the study consisted of 3,514 students taught…
Descriptors: Comparative Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, Mathematics Achievement
Anyon, Yolanda; Gregory, Anne; Stone, Susan; Farrar, Jordan; Jenson, Jeffrey M.; McQueen, Jeanette; Downing, Barbara; Greer, Eldridge; Simmons, John – American Educational Research Journal, 2016
A large urban district (N = 90,546 students, n = 180 schools) implemented restorative interventions as a response to school discipline incidents. Findings from multilevel modeling of student discipline records (n = 9,921) revealed that youth from groups that tend to be overrepresented in suspensions and expulsions (e.g., Black, Latino, and Native…
Descriptors: Urban Schools, School Districts, Intervention, Discipline
