Course on how to present and analyze data. Topics to be covered include basics about descriptive statistics, simple and multiple regression, factor analysis and path analysis. Using real data for learning which analysis is appropriate for which type of research questions and what kind of research designs.
Upon successful completion of this course, students will be able to:
1. Critically analyze empirical studies.
2. Calculate and interpret multiple regression (MR) and related methods
3. Critically evaluate different types of MR
4. Understand the basics of general linear models.
5. Perform computer-based analyses using PROCESS and SPSS, and to interpret the results appropriately.
6. Write reports that cover MR analyses
7. Design a basic study to address psychological questions including framing research questions, formulating hypotheses, identifying variables, determining and appropriate research methodology and data analysis technique, interpreting results appropriately and reporting research using APA style.
8. Communicate the results effectively for different purposes (e.g., scientific report, to inform the audience)
| Workload | Hrs |
|---|---|
| Course Readings | 56 |
| Lab Applications | 20 |
| Hands-on Work | 30 |
| Exams/Quizzes | 30 |
| Report on a Topic | 30 |
| Oral Presentation | 5 |