University at Buffalo 3 credits Counseling, School & Ed Psych
The course covers basic principles and applications of hierarchical linear modeling (HLM) for multilevel data analysis in educational, psychological and social research. A common feature of the data structure in this course is hierarchical in the observations are nested within units, which may be also nested in a hierarchy of more inclusive units. Note. Prerequisite for this course is familiarity with basic regression analysis and experience running statistical analysis on a computer.
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