Minilectures: Educational Data Analysis in R
This series of minilectures is an introduction to analyzing realworld educational data using R. It is designed for people with basic knowledge of quantitative methods and are interested in using R to address educational and psychological research questions. In the minilecture videos, I will introduce basic concepts and functions in R; however, this is NOT an R programming course.
Courses that I can teach
Undergraduate level
Educational & Psychologyrelated
Elementary Psychology Educational Psychology Learning & Motivation 
Statistical & Methodologyrelated
Elementary Statistical Methods Quantitative Data Analysis Methods in Education Introduction to Statistics in Psychology/Education 
Graduate level
Educational & Psychologyrelated
Advanced Educational Psychology Advanced Motivation Theory 
Statistical & Methodologyrelated
Factor Analysis Structural Equation Modeling Multilevel Modeling Multivariate Analysis in Educational Research Research Procedures in Education 
Syllabi
Structural Equation Modeling
This course is an introduction to structural equation modeling procedures. It focuses on various applications of SEM procedures. Students will develop skills to conduct SEM research and critically review use of SEM in research. 

Multilevel Modeling
This course is an introduction to hierarchical linear modeling, which is designed to provide students with an understanding of both the statistical underpinnings and the application of hierarchical linear models (HLMs) in educational research. The course doesn't focus on the mathematical mechanism of statistical methods. Emphasis is placed on the conceptual understanding of models, the interpretation of model results, and the applications of HLM in empirical studies. 
