Integrated coverage of advanced quantitative methods for education research. A conceptual approach with an emphasis on reading and writing research results sections. Subjects include missing data techniques and statistical procedures, such as linear regression, multiple regression, ANCOVA, logistic regression, and exploratory factor analysis, among other topics. Three lecture hours a week for one semester. Educational Administration 383 (Topic: ADV QUANTITATIVE RSCH AND ANLY) and Educational Leadership and Policy 392P may not both be counted. Offered on the letter-grade basis only. Prerequisite: Graduate standing, Educational Leadership and Policy 391E and 391P.