Research Methods (MAN601) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Research Methods MAN601 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Drill and Practice.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Pınar Kaya Samut
Course Assistants
Course Objectives
Course Learning Outcomes The students who succeeded in this course;
  • Formulating the various problems by models.
  • Applying quantitative techniques in software
  • Interpreting and making decisions based on results
Course Content Research designs, probability theories, hypothesis tests, reliability and validity of measurement, model construction, multiple regression, multivariate variance analyses, correlation, exploratory and confirmatory factor analyses, econometric models.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Multivariate Analysis Hair, J.F. , Ch. 1
2 Examining data Hair, J.F. , Ch. 2
3 Factor analysis Hair, J.F. , Ch. 3
4 Factor analysis Hair, J.F. , Ch. 3
5 Multiple Regression analysis Hair, J.F. , Ch. 4
6 Multiple Discriminant Analysis Hair, J.F. , Ch. 5
7 Multivariate Analysis of Variance Hair, J.F. , Ch. 6
8 Cluster Analysis Hair, J.F. , Ch. 9
9 Presentations
10 Introduction to Time Series Enders, W., Ch. 1
11 Stationary Time-Series Models Enders, W., Ch. 2
12 Stationary Time-Series Models Enders, W., Ch. 2
13 Models with Trend Enders, W., Ch. 3
14 Models with Trend Enders, W., Ch. 3
15 Multiequation Time-Series Models Enders, W., Ch. 5
16 Final Exam

Sources

Course Book 1. N. Joseph F. Hair (1998). Multivariate Data Analysis, 5th ed., Pearson Education, New Jersey.
2. Walter Enders (2009). Applied Econometric Time Series, Wiley.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 30
Presentation 1 20
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury 1 50
Toplam 4 100
Percentage of Semester Work 50
Percentage of Final Work 50
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 1. To have the ability to present a research problem, develop hypotheses, make research designs, reach conclusions by using qualitative/quantitative methods, and make academic publications by making the necessary literature review.
2 2. To be aware of research ethics.
3 3. To contribute to the process of becoming an information society by constantly following technological, social or cultural developments in the academic and professional context.
4 4. To be able to look at the problems that arise in businesses both theoretically, conceptually and from the perspective of a researcher.
5 5. To be able to use knowledge that requires expertise in analyzing, synthesizing and evaluating new and complex ideas by comprehending the interaction between various disciplines related to the field of business.
6 6. To be able to produce solutions by developing new strategic approaches by thinking holistically and creatively in complex situations that are not foreseen to be encountered in applications in the field of business.
7 7. To be able to master the basic concepts and methods in the field of general business administration.
8 8. To be able to dominate the academic literature and international developments in the field of general business administration.
9 9. To be able to transfer information about the business area by using effective verbal, written and visual communication methods.
10 10. To be aware of professional ethics, environmental awareness, sustainability, social responsibility, cultural, social and universal values
11 11. To be able to work effectively with different disciplines or multicultural teams, to take responsibility, to make risk analysis, to keep up with change, to think critically and to use initiative in problem solving

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 1 14 14
Presentation/Seminar Prepration 1 30 30
Project
Report
Homework Assignments 2 15 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 104