| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Research Methodology In Busıness | TOY206 | Turkish | Compulsory | 4. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face |
| Course Coordinator | Doç. Dr. Yıldırım YILDIRIM |
| Instructor(s) | |
| Goals | The aim of this course is to give students the ability to prepare a scientific study |
| Course Content | To introduce basic subjects such as science, scientific knowledge, what is research Scientific research process Characteristics of a good research process Determination of the research problem (subject), the ways to be followed while determining the subject Learning the concepts of hypothesis, variable, induction and deduction Types of hypotheses, quantitative and qualitative, dependent and independent, continuous and categorical variables Population and sampling, determination of sample size, probabilistic and non-probabilistic sampling techniques Critical source review, which sources should be examined, literature review information Data in scientific research, data sources, primary and data secondary data – strengths, weaknesses Survey, observation, interview methods, survey types, survey question types, word choice errors Measurements and scales in the scientific research process, scale types, features Measurement errors, data cleaning, coding and statistical editing Classification of analysis techniques – parametric and non-parametric analysis techniques The concepts of credibility, reliability and validity of data in scientific research |
| # | Öğrenme Kazanımı |
| 1 | - To have knowledge about scientific information production processes |
| 2 | - To help the solution by doing research on the subject of tourism management |
| 3 | - To produce practical results from the related literature, |
| 4 | - To understand the logic of field research and to have knowledge about ways to benefit from such research in business administration, |
| 5 | - To have the information to be used to prepare thesis. |
| 6 | - To understand the importance of reports for management |
| 7 | - Understand the data analysis process |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction to basic topics such as science, scientific knowledge, research | |
| 2. Week | Scientific research process, features of a good research process | |
| 3. Week | Determining the research problem and the subject | |
| 4. Week | To learn the concepts of hypothesis, variable, induction and deduction | |
| 5. Week | Types of hypothesis, quantitative and qualitative, dependent and independent, continuous and categorical variables | |
| 6. Week | Population and sampling, determination of sample size, probabilistic and non-probability sampling techniques | |
| 7. Week | Critical literature review, which sources should be examined, literature review information | |
| 8. Week | midterm | |
| 9. Week | Data, data sources, primary and data secondary data in scientific research - advantages, weaknesses | |
| 10. Week | Survey, observation, interview methods, questionnaire types, questionnaire types, word selection errors in questionnaires | |
| 11. Week | Measurement and scales in scientific research process, types of scale, characteristics | |
| 12. Week | Measurement errors, data cleaning, coding and statistical regulation | |
| 13. Week | Classification of analysis techniques - parametric and non-parametric analysis techniques | |
| 14. Week | Reliability and validity concepts of data in scientific research |
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 |
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| Ders Kitabı veya Notu |
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| Diğer Kaynaklar |
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| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Sınavlar |
Midterm 1 | 1 | 5 | 5 |
| Homework 1 | 1 | 8 | 8 | |
| Homework 2 | 1 | 8 | 8 | |
| Final | 1 | 1 | 1 | |
| Practice | 2 | 4 | 8 | |
| Classroom Activities | 14 | 2 | 28 | |
| Total Workload | 58 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 5.0 | ||
