Applied Multilevel Modeling: Course Outline

• Application of multilevel models.
• Multilevel data structures.
• Linear multilevel and logistic multilevel models.
• Random intercept and random slope models.
• Contextual effects and cross level interactions.
• Diagnostic checking and model specification.
• Binary response models.
• Repeated measures analysis and non-nested data.

        Note:  The course will have a practical emphasis with computer workshops.

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