EDUC 479 - Quantitative Research Methods II

This course introduces concepts and techniques of data analysis and statistical inference commonly used in education and social science research. It is the second course in educational statistics, building on EDUC 478 Quantitative Research Methods II. The primary focus of this course is multiple regression and its assumptions and applications. This course will also cover a number of topics on multivariate analyses, including factor analysis, logistic and multinomial regression, multilevel modeling, and structural equation modeling. Additionally, specific skills and techniques for dealing issues with “less than perfect” experimental and non-experimental data (e.g., missing data, weighting) will be discussed. One central goal of this course is to provide the students with the knowledge to use and correctly interpret the output of a statistical software package. For that we will focus on Stata which is available on the cloud-based Apporto platform, provided by CGU. Finally, the students will learn how to describe the results of statistical tests for both technical and lay audiences.
Units: 4
Enrollment is exclusive to students who have previously taken Quantitative Research Methods I (EDUC 478)
Course Type: Seminar