The University of Texas at Austin 3-4 credits Educational Psychology
Introduction to the basic concepts and applications of hierarchical linear (i.e. multilevel) models. Learn strategies for analyzing various nested data structures, such as students within schools, and measurement occasions within subjects. Determine when and how to use hierarchical linear models, with an emphasis placed both on the statistical concepts of the modeling framework and the application of hierarchical linear modeling to data sets via software. Educational Psychology 380C (Topic 16) and 184 (Topic 16), 284 (Topic 16), 384 (Topic 16) may not both be counted. Pre/Corequisites: Educational Psychology 380C (Topic 2), 380C (Topic 6) or 480C (Topic 6), and 380C (Topic 4) or 480C (Topic 4). Also offered as 480C.16 for different credit.
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