Robert D Abbott
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.
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.
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.