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| SBE5300 | Quantitative Research Techniques and Methods in Social Sciences | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Tülay İLHAN NAS | | Co-Lecturer | Prof. Dr. Tarhan OKAN | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | It is aimed to introduce the process of creating conceptual framework models and hypotheses, starting from the first process of quantitative research design, which starts with finding the research question, and to introduce the quantitative research design in detail. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Design a quantitative research model. | 1 | 1,3,6, | | PO - 2 : | Independently conduct and manage a quantitative research process | 1 | 1,3,6, | | PO - 3 : | Design measurement tools and test their reliability and validity with alternative methods | 1 | 1,3,6, | | PO - 4 : | Test quantitative research models with alternative and appropriate methods | 1 | 1,3,6, | | PO - 5 : | Independently report analysis results, create and read statistical tables. | 1 | 1,3,6, | | PO - 6 : | Interpret and discuss analysis results | 1 | 1,3,6, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Upon completion of the course, the student is expected to design a quantitative study, independently conduct field work and data analysis, and report the results. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Quantitative Research Process, Research question, Model and Hypotheses | | | Week 2 |
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32 / 5.000
Çeviri sonuçları
Çeviri sonucu
Sampling and Data Collection Process | | | Week 3 | Suitability of Data, Descriptive Statistics, Testing Normal Distribution and Detection of Extreme Values | | | Week 4 | Chi-Square Analysis | | | Week 5 | Tests for Comparison of Means | | | Week 6 | Non-Parametric Tests | | | Week 7 | Questionnaire, Reliability and Validity | | | Week 8 | Reliability analysis | | | Week 9 | Factor analysis | | | Week 10 | Midterm exam | | | Week 11 | Corelation Analysis | | | Week 12 | Regression Analysis | | | Week 13 | Curve Estimation and Alternative Regression Methods in Regression | | | Week 14 | Moderasting Analysis | | | Week 15 | Intermediary Models and Test Methods | | | Week 16 | TERM EXAM | | | |
| 1 | Hair, J. F. Jr., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis. Eight Edition. Cengage Learning EMEA: UK | | | |
| 1 | Cramer, D. & Howitt, D. (2004). The Sage Dictionary of Statistics. Sage Publications: London. | | | 2 | Bryman, A., Cramer, D. (1997). Quantitative Data Analysis with SPSS for Windows (1), New York: Routledge | | | 3 | Baron, R. M., & Kenny, D. A. (1986). The moderator?mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173 | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | | 20 | | In-term studies (second mid-term exam) | 12 | | | 10 | | End-of-term exam | 15,16 | | | 60 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 2 | 14 | 28 | | Arasınav için hazırlık | 3 | 2 | 6 | | Arasınav | 3 | 1 | 3 | | Uygulama | 2 | 14 | 28 | | Dönem sonu sınavı için hazırlık | 6 | 2 | 12 | | Dönem sonu sınavı | 3 | 1 | 3 | | Total work load | | | 122 |
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