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GRADUATE INSTITUTE of SOCIAL SCIENCES / DEPARTMENT of LABOR ECONOMICS and INDUSTRIAL RELATIONS
Masters With Thesis
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SBE
GRADUATE INSTITUTE of SOCIAL SCIENCES / DEPARTMENT of LABOR ECONOMICS and INDUSTRIAL RELATIONS / Masters With Thesis
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SBE5300Quantitative Research Techniques and Methods in Social Sciences3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
Department
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Tülay İLHAN NAS
Co-LecturerProf. Dr. Tarhan OKAN
Language of instructionTurkish
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 OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Design a quantitative research model.11,3,6,
PO - 2 : Independently conduct and manage a quantitative research process11,3,6,
PO - 3 : Design measurement tools and test their reliability and validity with alternative methods11,3,6,
PO - 4 : Test quantitative research models with alternative and appropriate methods11,3,6,
PO - 5 : Independently report analysis results, create and read statistical tables.11,3,6,
PO - 6 : Interpret and discuss analysis results11,3,6,
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

 
Contents of the Course
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.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Quantitative Research Process, Research question, Model and Hypotheses
 Week 2 clear 32 / 5.000 Çeviri sonuçları Çeviri sonucu Sampling and Data Collection Process
 Week 3Suitability of Data, Descriptive Statistics, Testing Normal Distribution and Detection of Extreme Values
 Week 4Chi-Square Analysis
 Week 5Tests for Comparison of Means
 Week 6Non-Parametric Tests
 Week 7Questionnaire, Reliability and Validity
 Week 8Reliability analysis
 Week 9Factor analysis
 Week 10Midterm exam
 Week 11Corelation Analysis
 Week 12Regression Analysis
 Week 13Curve Estimation and Alternative Regression Methods in Regression
 Week 14Moderasting Analysis
 Week 15Intermediary Models and Test Methods
 Week 16TERM EXAM
 
Textbook / Material
1Hair, J. F. Jr., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis. Eight Edition. Cengage Learning EMEA: UK
 
Recommended Reading
1Cramer, D. & Howitt, D. (2004). The Sage Dictionary of Statistics. Sage Publications: London.
2Bryman, A., Cramer, D. (1997). Quantitative Data Analysis with SPSS for Windows (1), New York: Routledge
3Baron, 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 assessmentWeek NoDate

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 workDuration (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 load122