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Institution:
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University of Chicago
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Subject:
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Description:
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A number of diverse methodological problems (e.g., correlates of change, analysis of multi-level data, certain aspects of meta-analysis) share a common feature: a hierarchical structure. The hierarchical linear model offers a promising approach to analyzing data in these situations. This course surveys the methodological literature in this area and demonstrates how the hierarchical linear model can be applied to a range of problems. S. Raudenbush. Spring.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(773) 702-1234
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Regional Accreditation:
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North Central Association of Colleges and Schools
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Calendar System:
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Quarter
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