GRADUATE SCHOOL
Ph.D. In Business Administration
BA 631 | Course Introduction and Application Information
| Course Name |
Quantitative Research Methods
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
BA 631
|
Fall
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Required
|
|||||
| Course Level |
Third Cycle
|
|||||
| Mode of Delivery | face to face | |||||
| Teaching Methods and Techniques of the Course | DiscussionQ&ALecture / Presentation | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | The objective of the course is to give an emphasis on quantitative methods for analyzing and interpreting data. In addition, it aims to develop basic competence in statistical methods including univariate, bivariate, multiple regression and logistical regression analysis. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | Learning the methods of collecting, analyzing and interpreting quantitative data and conducting empirical applications. |
|
|
Core Courses |
X
|
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Introduction to Course and Quantitative Research | Neuman (2014) Chapter 2 |
| 2 | Quantitative Research Design: Research Questions, Hypotheses and Variables | Neuman (2014) Chapter 2 Creswell (2014) Chapter 7 |
| 3 | Quantitative Measurement and Sampling | Neuman (2014) Chapters 7&8 Creswell (2014) Chapters 7&8 |
| 4 | Presentation 1: Research Proposal | |
| 5 | Data Analysis Software (R) | Fogarty (2018) Chapters 2&4 |
| 6 | Analysis of Quantitative Data | Neuman (2014) Chapter 12 |
| 7 | Descriptive Statistics | Fogarty (2018) Chapter 7 |
| 8 | Visualizing Data | Fogarty (2018) Chapter 8 |
| 9 | Hypothesis Testing | Neuman (2014) Chapter 12 Fogarty (2018) Chapter 9 |
| 10 | Bivariate Analysis | Neuman (2014) Chapter 12 Fogarty (2018) Chapter 10 |
| 11 | Presentation 2: Data Collection and Analysis | |
| 12 | Bivariate Analysis (continued) | Neuman (2014) Chapter 12 Fogarty (2018) Chapter 10 |
| 13 | Research Ethics and Data Interpretation | Neuman (2014) Chapter 15 |
| 14 | Presentation 3: Final Report | |
| 15 | Review of the Semester | |
| 16 | Review of the Semester |
| Course Notes/Textbooks | Neuman, W Lawrence. (2014). Social Research Methods: Qualitative and quantitative approaches. Pearson publications. Creswell, J. W., & Creswell, J. D. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications. |
| Suggested Readings/Materials | Fogarty, B. J. (2018). Quantitative Social Science Data with R: an introduction. Sage Publications. Related reading materials on Blackboard. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation |
-
|
|
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
1
|
15
|
| Presentation / Jury |
2
|
60
|
| Project |
1
|
25
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm | ||
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade |
4
|
100
|
| Weighting of End-of-Semester Activities on the Final Grade | ||
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
14
|
3
|
42
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
3
|
10
|
30
|
| Presentation / Jury |
2
|
8
|
16
|
| Project |
1
|
77
|
77
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
0
|
||
| Final Exam |
0
|
||
| Total |
213
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To be able to master existing theoretical knowledge in their specialized area of business administration. |
|||||
| 2 | To be able to gain in-depth knowledge of research methodologies and design. |
X | ||||
| 3 | To be able to acquire advanced knowledge of data collection and analysis techniques. |
X | ||||
| 4 | To be able to design and conduct original research with a scholarly theoretical emphasis. |
|||||
| 5 | To be able to disseminate scholarly knowledge in well-known academic networks. |
|||||
| 6 | To be able to demonstrate the ability to communicate the results of their research in a clear and effective manner with various audiences. |
X | ||||
| 7 | To be able to have concerns for the high ethical standards in research, and teaching. |
X | ||||
| 8 | To be able to adopt critical attitude toward the extant literature and practice in the specialized area of business administration. |
|||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest