| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 9 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Learn the fundamental topics in multivariate statistics.
- Select appropriate analyses for the research questions that they confronted with.
- Use statistical packages to make multivariate statistics.
- Be able to write statistical reports of multivariate analyses.
- Design research questions suitable to multivariate analyses.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | The goal of this course is to teach the fundamental topics in multivariate statistics, select appropriate analyses for the research questions that the students confronted with, learn using statistical packages to make multivariate statistics, be able to write statistical reports of multivariate analyses and finally design research questions suitable to multivariate analyses. Possible topics to be covered include data screening, multiple regression, multivariate statistics, principal component analysis and structural equation modeling. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to Multivariate Statistics |
|
2nd Week |
Data Screening |
|
3rd Week |
Multiple Regression |
|
4th Week |
Multiple Regression (cont.) |
|
5th Week |
Canonical Correlation |
|
6th Week |
Multiway Frequency Analysis |
|
7th Week |
Analysis of Covariance |
|
8th Week |
Mid-Term Exam |
|
9th Week |
Multivariate Analysis of Variance |
|
10th Week |
Multivariate Analysis of Variance (cont.) |
|
11th Week |
Principal Component Analysis |
|
12th Week |
Principal Component Analysis (cont.) |
|
13th Week |
Introduction to Structural Equation Modeling |
|
14th Week |
Introduction to Structural Equation Modeling (cont.) |
|
15th Week |
General Evaluation |
|
| Recommended or Required Reading | Tabachnick, B. G., & Fidell, L. S. (2011). Multivariate statistics. Boston: Allyn and Bacon.
* The primary textbook for this course is renewed every year.
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Practice
- Other
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
40 |
| Total(%) |
|
40 |
| Contribution of In-term Studies to Overall Grade(%) |
|
40 |
| Contribution of Final Examination to Overall Grade(%) |
|
60 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
3 |
3 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
9 |
126 |
| Preparation for Final exam |
1 |
50 |
50 |
| Course hours |
15 |
3 |
45 |
| Preparation for Midterm exam |
1 |
40 |
40 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
3 |
3 |
| Homework |
|
|
|
| Total Work Load | 267 |
| Total Work Load / 30 (h) | 8.9 |
| ECTS Credit of the Course | 9 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
