- Course Code
- TKM355
- Semester
- Fifth Term (Fall)
- Theory+Practice
- 3 + 0
- ECTS
- 5
| Course Type | Compulsory Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | 3 |
|---|
| Semester | Fifth Term (Fall) |
|---|
| ECTS | 5 |
|---|
| 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 | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | |
|---|
| Course Description | This course is designed to examine scientific research methods and the stages of the scientific research process. The course covers all stages of the research process, including finding a topic, establishing a hypothesis, conceptualizing, measuring, collecting data, analyzing data, interpreting, and writing reports. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to subject area and basic concepts (what is research? What is data? What is data analysis? |
|
2nd Week |
Research methods 1 (Quantitative research methods) |
|
3rd Week |
Research methods 2 (Qualitative research methods) |
|
4th Week |
Designing research: data collection methods |
|
5th Week |
Introducing SPSS Environment |
|
6th Week |
SPSS: entering data, cleaning data, missing data analysis |
|
7th Week |
Exploring data (mean, median, standard deviation and interpretations) |
|
8th Week |
Midterm |
|
9th Week |
Using graphs to explore the data |
|
10th Week |
Distribution of data, outlier analysis (normality) |
|
11th Week |
Reliability analysis |
|
12th Week |
Crosstabs |
|
13th Week |
Comparing means (parametric and non-parametric methods) |
|
14th Week |
Hypothesis testing, 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 |
- Lecture
- Presentation
- Project
- Practice
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Project |
1 |
25 |
| Total(%) |
|
55 |
| Contribution of In-term Studies to Overall Grade(%) |
|
55 |
| Contribution of Final Examination to Overall Grade(%) |
|
45 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2.5 |
2.5 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
2 |
28 |
| Preparation for Final exam |
1 |
25 |
25 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
20 |
20 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2.5 |
2.5 |
| Homework |
|
|
|
| Presentation (including preperation) |
|
|
|
| Project |
1 |
25 |
25 |
| Research |
|
|
|
| Total Work Load | 145 |
| Total Work Load / 30 (h) | 4.83 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
Programme Qualifications / Learning Outcomes
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LO1 |
LO2 |
LO3 |
LO4 |
| K1 |
X |
X |
X |
X |
| K2 |
X |
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X |
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| K3 |
|
X |
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X |
| K4 |
|
X |
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| K5 |
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X |
| K6 |
X |
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X |
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| K7 |
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| K8 |
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X |
| K9 |
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| K10 |
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| K11 |
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| K12 |
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X |
| K13 |
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| K14 |
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| K15 |
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