Research Methods (MAN601) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Research Methods MAN601 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Compulsory Departmental Courses
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 Advanced methodolgy in research designs, probability theories, hypothesis tests, reliability and validity of measurement, model construction, multiple regression, multivariate variance analyses, correlation, exploratory and confirmatory factor analysis and 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 Possesses the ability to conduct comprehensive literature reviews, formulate research problems, develop hypotheses, design research, and apply qualitative and quantitative methods to reach conclusions, ultimately leading to the ability to produce academic publications.
2 Demonstrates awareness of research ethics.
3 Contributes to the development of an information society by continuously following technological, social, and cultural advancements in academic and professional contexts.
4 Approaches problems arising in businesses from theoretical, conceptual, and research-oriented perspectives.
5 Understands the interaction between various disciplines related to the field of business and utilizes knowledge requiring expertise to analyze, synthesize, and evaluate new and complex ideas.
6 In the face of unforeseen complex situations in business practice, produces solutions by developing new strategic approaches through holistic and creative thinking.
7 Possesses a solid command of fundamental concepts and methodologies in the field of general business administration.
8 Has a comprehensive understanding of the academic literature and international developments in the field of general business.
9 Effectively communicates information related to the field of business using verbal, written, and visual communication methods.
10 Demonstrates awareness of professional ethics, environmental sensitivity, sustainability, social responsibility, and cultural, societal, and universal values.
11 Works effectively with different disciplines or multicultural teams, takes responsibility, conducts risk analysis, adapts to change, engages in critical thinking, and takes 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