PSY685 BAYESIAN STATISTICS IN PSYCHOLOGY
| Course Code: | 2330685 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Psychology |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | |
| Offered Semester: | Fall Semesters. |
Course Objectives
An advanced course on statistics in which Bayesian data analytic tools are utilized for analysing data from psychology experiments. The focus is on the practicalities of running Bayesian analyses, describing the analyses, and making inferences about data.
This course aims to provide students with
- a basic knowledge of Bayesian approaches in data analyses.
- a deeper understanding of how to make inferences from data.
Course Content
This is a course on advanced statistics with Bayesian approach. Topics will be on the fundamentals of Bayesian data analysis obtained from behavioral experiments. Traditional statistical tests will be covered with a Bayesian approach.
Course Learning Outcomes
At the end of the course students will gain
- a theoretical understanding of Bayesian approaches in statistics
- practical experience in conducting Bayesian data analysis in R
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | Skills to understand and successfully employ the latest and most advanced research and data analysis methods and techniques. | ✔ | |||
| 2 | Knowledge of the latest theoretical and empirical literature in psychology. | ✔ | |||
| 3 | Skills to conduct research and critically evaluate the important literature on any topic of interest related to psychology or other relevant disciplines. | ✔ | |||
| 4 | Awareness about the novel information in light of the theoretical knowledge gained and knowledge to develop advanced research topics and questions. | ✔ | |||
| 5 | Skills to develop and carry out a research project from beginning to end in light of the formulated research questions using the accumulated knowledge from relevant literature and methods. | ✔ | |||
| 6 | Awareness of conducting research, publishing, and application activities in light of ethical principles and values. | ✔ | |||
| 7 | Skills to work independently as an individual and as part of a team. | ✔ | |||
| 8 | Skills to communicate effectively, both in written and oral forms of English and Turkish, during scientific activities. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution