PSL701 - MULTIVARIATE STATISTICS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| MULTIVARIATE STATISTICS | PSL701 | 1st Semester | 2 | 2 | 3 | 10 |
| Prequisites | PSL 601 Research Methods and PSL 602 Statistical Applications ın Psychology | |||||
| Course language | Turkish | |||||
| Course type | Must | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer Preparing and/or Presenting Reports Demonstration Drill and Practice Problem Solving Brain Storming | |||||
| Instructor (s) | Department Staff | |||||
| Course objective | The aims of the course are to gain the student about apprehension, utilization and usage of multivariate statistics. | |||||
| Learning outcomes |
| |||||
| Course Content | The course covers the following topics: Utilizations of multivariate statistics, outlier and missing value analyses, correlation and regression analyses, ANOVA and ANCOVA, MANOVA and MANCOVA, profile analysis, factor analyses, structural equation modeling, multilevel linear modeling, multilevel frequency analysis (sweep analysis), and writing an adequate analyze report. Course Level: Graduate Course Coordinator: Dr. Arife Berna AYTAÇ Course Supervisor: Dr. Arife Berna AYTAÇ Course Assistants: It will be given by the course instructor by the department. Internship Status: None | |||||
| References | Tabachnick, B. G., and Fidell, L. S. (2007). Using Multivariate Statistics.Pearson: New York. Meyers, L. S., Gamst, G., and Guarino, A. J. (2006). Applied Multivariate Research: Design and Interpretation. Sage Publications: London. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Utilizations of multivariate statistics |
| Week 2 | Outlier and missing value analysis |
| Week 3 | Correlation |
| Week 4 | Regression analysis |
| Week 5 | Regression analysis |
| Week 6 | Midterm exam |
| Week 7 | ANOVA and ANCOVA |
| Week 8 | MANOVA and MANCOVA |
| Week 9 | MANOVA and MANCOVA |
| Week 10 | Profile Analysis |
| Week 11 | Midterm exam |
| Week 12 | Factor Analysis |
| Week 13 | Structural Equation Modelling |
| Week 14 | Multilevel Linear Modelling |
| Week 15 | Multilevel Frequency Analysis (Sweep Analysis) |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 14 | 15 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 14 | 15 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 2 | 30 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 30 | 60 |
| Percentage of final exam contributing grade succes | 1 | 40 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 16 | 2 | 32 |
| Laboratory | 0 | 0 | 0 |
| Application | 14 | 2 | 28 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 14 | 4 | 56 |
| Midterms (Study duration) | 2 | 30 | 60 |
| Final Exam (Study duration) | 1 | 40 | 40 |
| Total Workload | 61 | 84 | 300 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Understands current theoretical and applied knowledge in psychology. | X | ||||
| 2. Understands the relationship between theoretical and applied knowledge in psychology and other disciplines. | X | ||||
| 3. Understands the causes and consequences of the transformations experienced by individuals. | X | ||||
| 4. Evaluates analysis techniques, technologies and applications related to psychology. | X | ||||
| 5. Acts and contributes in accordance with legislation, professional values and ethical principles. | X | ||||
| 6. Shares and discusses solution suggestions with experts. | X | ||||
| 7. Conducts qualified national/international joint studies. | X | ||||
| 8. Carries out social responsibility projects that require corporate cooperation. | X | ||||
| 9. Adopts a lifelong learning approach in personal and professional development. | X | ||||
| 10. Transforms psychology knowledge and skills into new thoughts and research. | X | ||||
| 11. Contributes to the psychology literature. | X | ||||
| 12. Trains experts. | X | ||||
| 13. Shares knowledge in scientific meetings. | X | ||||
| 14. Conducts individual or team-based studies on current topics in the field of psychology and writes articles based on the results of these studies. | X | ||||
| 15. Includes current developments in research. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest