UGİ328

School of Economics and Administrative Sciences \ International Entrepreneurship

3

6

Compulsory

Turkish

-

Department of International Entrepreneurship (Compulsory),
Business Administration (Compulsory)
All Other Departments (Elective)

This is an introductory course on quantitative research methods. The course will introduce students to analytical techniques applicable in social sciences. Topics covered will include data analysis and presentation, descriptive statistics, inferential statistics, and regression models (OLS and Logit).

Fundamental Book: Pollock III, P. H., & Edwards, B. C. (2019). The essentials of political analysis. Cq Press.
Recommended Books: • Pollock III, P. H., & Edwards, B. C. (2018). A Stata® companion to political analysis. CQ Press.
• Gujurati, D., N. ve Porter, D. C. (2009) Temel Ekonometri, Çev. Editörleri: Şenesen, Ü ve Şenesen, G., G., Literatür Yayıncılık, İstanbul.
• Wooldridge: Introductory Econometrics: A Modern Approach, 5e
• Stock & Watson Introduction to Econometrics 4e
• Studenmund A Practical Guide to Econometrics

It aims to equip students with the ability to understand, interpret, and replicate social science studies that incorporate quantitative methods.

1. Can collect sustainability-related data from various databases and official statistical sources.
2. Can analyze data using basic statistical methods and Stata software.
3. Can apply quantitative research methods such as regression analysis and hypothesis testing using Stata software.
4. Can visualize data using Stata software.
5. Can interpret and present findings obtained through quantitative methods within a scientific framework.

Week 1: Course Introduction
Week 2: Research Design and Introduction to Econometrics
Week 3: Measurement, Definition, and Transformation of Variables; Methods for Summarizing and/or Describing Data
Week 4: Organization of Quantitative Data (Table Usage, Data Presentation with Graphs), Hypothesis Formation, Conducting Controlled Comparisons
Week 5: Conducting Controlled Comparisons, Hypothesis Testing, Continuation of Quantitative Data Organization (Table Usage, Data Presentation with Graphs)
Week 6: Midterm Exam
Week 7: Econometrics, Regression
Week 8: Econometrics, Regression
Week 9: Econometrics, Regression with Dummy Variables, Project Planning with Students
Week 10: Models for Explaining Categorical Dependent Variables, Article Presentation
Week 11: Models for Explaining Categorical Dependent Variables, Introduction to Panel Data Analysis
Week 12: Introduction to Panel Data Analysis and Project Presentations

• Midterm 35%
• Final 40%
• Participation 10%
• Project and Presentations 15%