EDS604 MULTIVARIATE STATISTICAL TECHNIQUES IN EDUCATION
| Course Code: | 4540604 |
| METU Credit (Theoretical-Laboratory hours/week): | 4 (3.00 - 2.00) |
| ECTS Credit: | 10.0 |
| Department: | Educational Sciences |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | |
| Offered Semester: | Fall Semesters. |
Course Objectives
At the end of this course, the student will:
- understand the basic theory, methods, and applications of commonly used multivariate techniques such as MANOVA, Multiple Linear Regression, Analysis of Covariance, Exploratory Factor Analysis, Canonical Correlation, and Logistic Regression,
- develop an ability to review and interpret statistical outputs of multivariate approaches,
- comprehend the use and misuse of multivariate analysis methodologies utilized in the literature.
Course Content
Introduction to multivariate methods as principal components and factor analysis, multidimensional scaling and cluster analysis; multiway contingency table analysis and discriminant analysis. Focus on research problems in education. Structural equation models. The explanation and use of SPSS for various topics.
Course Learning Outcomes
Upon completion of this course, students will be able to:
- identify the structure of multivariate data and phrase appropriate research questions,
- explain the conceptual and procedural principles underlying selected multivariate procedures,
- analyze multivariate data using SPSS and interpret SPSS outputs,
- critically evaluate studies in the literature that utilize multivariate analysis methodologies.