TEACHING
Spring 2010
EDF5401-General Linear Models (GLM)
Class hours: TR 11:00am-12:45pm
Office hours: W 3:30-5:00pm, R 1:00-2:30pm or by appointment
This course introduces students to techniques of data analysis and statistical inference based on the general linear model. The bulk of the course is devoted to the linear regression analysis of continuous outcomes. In addition, techniques for logistic regression (for dichotomous and categorical outcomes) are covered. Students will conduct analyses using the NELS:88 database and other data sets with SPSS or SAS.
EDF5401-Syllabus: 
EDF5432-Measurement Theory I
Class hours: MW 5:15 -6:30pm
Office hours: W 3:30-5:00 pm, R 1:00-2:30pm or by appointment
This course introduces the basic theory and applications of psychometrics to be applied to psychological tests, including achievement test, questionnaire, and attitude survey. It is designed for students who wish to learn basic theory and techniques of item analyses, including reliability and validity analyses. Classical test theory, confirmatory factor analyses, and the item response theory will be covered.
EDF5432-Syllabus:
Fall 2009
EDF5401-General Linear Models (GLM)
Class hours: TR 5:15-7:00pm (section 01), TR 9:30-11:15 pm (section 02)
Office hours:M 11:00am-12:30pm, R 11:30am-1:00pm or by appointment
This course introduces students to techniques of data analysis and statistical inference based on the general linear model. The bulk of the course is devoted to the linear regression analysis of continuous outcomes. In addition, techniques for logistic regression (for dichotomous and categorical outcomes) are covered. Students will conduct analyses using the NELS:88 database and other data sets with SPSS or SAS.
EDF5401-Syllabus:
EDF5402-Analysis of Variance (ANOVA)
Class hours: MW 9:30 am-10:45am
Office hours: M 11:00am-12:30pm, R 11:30am-1:00pm or by appointment
This course introduces students to techniques of data analysis and statistical inference commonly used in educational and psychological research. Students will conduct analyses using the NELS:88 data base and other data sets with SPSS or SAS. The major topics are one and two-factor analysis of variance with multiple comparisons and interactions, randomized block and within-subjects designs, and analysis of covariance.
EDF5402-Syllabus: