| Course Type | Elective Course |
| Course Level | Bachelor's Degree |
| Year of Study | - |
| Semester | - |
| ECTS | 2 |
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Define research methods.
- Define data and data types.
- Define data collection methods and use them.
- Conduct data analysis using SPSS.
|
| Mode of Delivery | |
| Prerequisites | No |
| Recommended Optional Programme Components | |
| Course Description | Basic concepts, qualitative and quantitative methods, design of research and data collection methods, data analysis with SPSS, graphical data analysis, data distribution, data reliability, the analysis of cross-classified tables, mean statistics, hypothesis tests and correlation analysis. |
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Basic concepts |
|
2nd Week |
Qualitative and quantitative methods |
|
3rd Week |
Design of research and data collection methods |
|
4th Week |
Design of research and data collection methods |
|
5th Week |
Data analysis with SPSS |
|
6th Week |
ata analysis with SPSS |
|
7th Week |
Graphical data analysis |
|
8th Week |
MIDTERM |
|
9th Week |
Data distribution, data reliability, the analysis of cross-classified tables |
|
10th Week |
Data distribution, data reliability, the analysis of cross-classified tables |
|
11th Week |
Mean statistics |
|
12th Week |
Hypothesis tests |
|
13th Week |
Correlation analysis |
|
| Recommended or Required Reading | A. Field. Discovering statistics using SPSS. 3. Baskı, Sage publications, 2009.
J. Pallant. SPSS Survival Manual, 2002.
|
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
0 |
0 |
0 |
| Individual or group work |
0 |
0 |
0 |
| Preparation for Final exam |
1 |
9 |
9 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
5 |
5 |
| Laboratory (including preparation) |
0 |
0 |
0 |
| Final exam |
1 |
2 |
2 |
| Homework |
0 |
0 |
0 |
| Total Work Load | 60 |
| Total Work Load / 30 (h) | 2 |
| ECTS Credit of the Course | 2 |
|
| Language of Instruction | - |
| Work Placement(s) | No |