Instructor Class Description

Time Schedule:

• Spring Quarter 2012
• Summer Quarter 2012
• Autumn Quarter 2012

Robert D Abbott
EDPSY 576
Seattle Campus

Hierarchical Linear Models

Theory and data analysis for research models where random factors are nested, such as multi-level data, growth curve analysis, and meta-analysis. Prerequisite: EDPSY 593 or equivalent. Offered: alternate years; W.

Class description

Theory and data analysis for hierarchically structured data such as multilevel data (children in classrooms), longitudinal data, and metaanalysis. Students will use HLM software for projects.

Student learning goals

General method of instruction

Lecture, small group discussion; student presentations.

Recommended preparation

Courses in Correlational Methods and Analysis of Variance.

Class assignments and grading

Student projects and presentation in class.

Course graded credit/no credit based on student completion of projects.

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Modified:May 9, 2012