UW-Madison EPS 908 - EPS 908 Syllabus (10 pages)

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EPS 908 Syllabus



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EPS 908 Syllabus

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Lecture Notes


Pages:
10
School:
University of Wisconsin, Madison
Course:
Eps 908 - Seminar in Sociology of Education

Unformatted text preview:

SOCIOLOGY EPS 908 SEMINAR IN SOCIOLOGY OF EDUCATION Fall 2009 Multilevel Models for Education Effects Thursdays 1 30 4 00pm Professor Adam Gamoran 785 Educational Sciences 262 2704 gamoran ssc wisc edu Office hours by appointment Ana Cristina Collares Project Assistant 489 Educational Sciences 263 4289 acollare ssc wisc edu Seong Won Han Project Assistant 652 Educational Sciences 263 1928 shan ssc wisc edu Office hours by appointment Course Description This graduate seminar concerns the hierarchical and stratified nature of school systems including the nested layers of classrooms schools and districts and the stratified divisions within school systems such as selective schools tracks and ability groups In the course students will explore the methodological challenges and substantive implications of stratification and hierarchy for understanding the effects of schools and schooling on student outcomes Substantively we will begin with the literature on school effects moving from early input output studies to current research that examines the organizational context of schools We will also examine the impact of stratification within and between schools focusing on selection processes as well outcomes Next we will consider stratification and hierarchy in light of salient policy issues such as standards and accountability teacher quality evidence based practice and charter schools Methodologically we will examine the rationale for and execution of multilevel models and develop facility with a statistical packages designed to address the hierarchical organization of school systems and other issues that demand a multilevel approach Substantive and methodological issues will be integrated through seminar discussions student presentations and seminar papers Students are advised that Sociology 362 or equivalent statistics through ordinary least squares regression is necessary for adequate preparation for this course Course Requirements Students will be expected to read



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