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 -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of the course is to give an emphasis on quantitative methods, as general knowledge about these are considered crucial for a researcher, both as a prerequisite for conducting needs assessments/situation analyses and evaluations, and as a prerequisite for assessing academic literature and other secondary sources relying on statistical material, such as reports by international organizations. The module offers basic competence in statistical methods and covers univariate, bivariate, multiple regression and logistical regression analysis.
Learning Outcomes The students who succeeded in this course;
  • To discuss and interpret the different approaches of quantitative research methods applied in business related areas.
  • To construct quantitative and computerised data.
  • To have the ability to analyze large complex data sets via the latest advances in computing.
  • To explain the different types of convergence in large samples.
  • To critically reflect on ethical and normative issues in connection with quantitative research.
Course Description The focus is on quantitative methods for data description and analysis, covering univariate, bivariate and an introduction to multivariate analysis.
Related Sustainable Development Goals

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Quantitative Research Design: Research Questions, Hypotheses and Variables Neuman (2014) Chapter 2 Creswell (2014) Chapter 7
2 Quantitative Measurement and Sampling Neuman (2014) Chapters 7 and 8. Assigned articles for discussion
3 Individual Research Project Progress Presentation Progress Report Submission I
4 Experimental Research Design Neuman (2014) Chapter 9 Creswell (2014) Chapter 8 – pp.214-228. Assigned articles for discussion
5 Experimental Research Design (Contd) Student Presentations
6 Individual Research Project Progress Presentation Progress Report Submission II
7 Fundamentals of Organizing and Analyzing Quantitative Data Neuman (2014) Chapter 12
8 Analyzing Quantitative Data: Data Processing and Fundamental Data Analysis Field (2013)
9 Analyzing Quantitative Data: Statistical Testing of Differences Field (2013)
10 Individual Research Project Progress Presentation Progress Report Submission III
11 Analyzing Quantitative Data: Statistical Testing of Differences Field (2013)
12 Analyzing Quantitative Data: Statistical Testing of Relationships Field (2013)
13 Analyzing Quantitative Data: Statistical Testing of Relationships Field (2013)
14 Project Presentations
15 Review of the Semester
16 Review of the Semester
Course Notes/Textbooks Black, R. Thomas, (2005). Doing Quantitative Research in the Social Sciences: An Integrated Approach to Research Design, Measurement and Statistics. 3rd Edition. Thousand Oaks: Sage Creswell, John W. (2013). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 3rd edition. Thousand Oaks, Calif: Sage
Suggested Readings/Materials Martin E. William; Bridgmon, D. Krista. (2012). Quantitative and Statistical Research Methods: From Hypothesis to Results. Jossey-Bass Pallant, Julie (2010). SPSS survival manual: a step by step guide to data analysis using SPSS for Windows. Maidenhead, Open University Press Bryman, Alan (2008). Social Research methods, 4th edition. Oxford: OUP

 

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 Exam
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
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
14
3
42
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
3
10
Presentation / Jury
2
8
Project
1
77
Seminar / Workshop
Oral Exam
Midterms
Final Exams
    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.

X
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.

X
5

To be able to disseminate scholarly knowledge in well-known academic networks.

X
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.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest