peers

Namepeers
DescriptionThis is an analysis of statewide data for all students in grades K-2. The aim of the analysis is to examine the effects of peers' achievement and composition effects on individual student achievement. This analysis requires mixed-effect modeling and quantile regression. R, and qrLMM package, will be used for analysis, 19 instances of analysis (one for each quantile .05 to .95 in .05 increments) will be conducted for each grade (k, 1, and 2). Each data set is less than 1GB, but requires approximately 6gb to run.
OrganizationFlorida State University
DepartmentFlorida Center for Reading Research
Sponsor Campus GridOSG Connect
Principal Investigator
Jessica Sidler Folsom
Field Of ScienceEcological and Environmental Sciences
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