Faculty of Business and Management Sciences · Islamic Economics and Finance (English) · Undergraduate
Course Objective
This course aims to observe the main scientific research methods and to enable students to learn necessary techniques and methods for scientific research on a specific topic.
Course Content
This course begins with identifying the research process commonly used in social sciences such as problem identification, data collection, data analysis and interpretation of results. Afterwards, we will examine in detail the methods of scientific research (experimental method, description method etc.) and find out the problems related to the selected research topic, establishing hypothesis, conceptualizing, operating, measuring, analyzing and evaluating collected data and writing reports. It also includes a practical description of how the data will be analyzed and interpreted using the SPSS program
Required Resources
Research Methods in The Social Sciences (8th Edition) ISBN-13: 978-1-4292-3300-2, Chava Frankfort-Nachmias, David Nachmias, Jack DeWaard
How to Use SPSS® A Step-By-Step Guide to Analysis and Interpretation (12th Edition) ISBN: 978-1-032-58519-2, Brian C. Cronk
Recommended Resources
Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 6th Edition, 978-1506386706, John W. Creswell & J. David Creswell
The Craft of Research, 4th Edition, 978-0226239736, Wayne C. Booth, Gregory G. Colomb & Joseph M. Williams
Practical Research: Planning and Design, 12th Edition, 978-0134775654, Paul D. Leedy & Jeanne Ellis Ormrod
Course Learning Outcomes
- Apply the scientific approach and conceptual foundations to formulate research questions and design studies.
- Differentiate among experimental, cross-sectional, and quasi-experimental designs to select appropriate methodologies.
- Integrate ethical principles into the planning and execution of social sciences research.
- Demonstrate competence in academic writing by developing clear abstracts, introductions, literature reviews, and hypothesis statements.
- Implement effective sampling strategies and data collection techniques to support empirical research.
- Use statistical software to perform descriptive, parametric, non-parametric, and regression analyses for data interpretation.
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 16 | 3 | 48 |
| Out of Class Study Period | 16 | 3 | 48 |
| Midterm | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Assignment | 3 | 10 | 30 |
| Practice | 0 | 0 | 0 |
| Final | 0 | 0 | 0 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Course Introduction, Scientific Approach | Introduction to the Course |
| 2 | Conceptual Foundations of Research | Related Unit |
| 3 | Elements of Research | Related Unit |
| 4 | Ethics in Social Sciences Research, | Related Unit |
| 5 | Research Designs: Experiments | Related Unit |
| 6 | Araştırma Tasarımları: Kesitsel ve Yarı Deneysel Tasarım | Related Unit |
| 7 | Academic Writing – Abstract and Introduction | Related Unit |
| 8 | MidTerm Exam | Ara Sınav |
| 9 | Academic Writing – Literature Review and Hypothesis Development | Related Unit |
| 10 | Measurement | Related Unit |
| 11 | Sampling and Sample Designs | Related Unit |
| 12 | Data Collection | Related Unit |
| 13 | Introduction to SPSS – Descriptive Statistics | Related Unit |
| 14 | Parametric and Non-Parametric Analyses | Related Unit |
| 15 | Regression Analyses | Related Unit |
| 16 | Final Exam | Final Sınavı |