Research Methods (KAM655) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Research Methods KAM655 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language Turkish
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Drill and Practice, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Eda Bektaş
Course Assistants
Course Objectives The purpose of this course is to introduce graduate students the quantitative and qualitative research methods in social sciences.
Course Learning Outcomes The students who succeeded in this course;
  • Acquire knowledge on social research and planning.
  • Have the competence of designing a scientific project and conduct it independently.
  • Have the command of knowledge on various methods and the analytical reasoning required by social sciences.
Course Content Qualitative and quantitative methods; research designs; research tools; SPSS; statisticals tests; area researches; epistemology.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introductions; overview of course
2 What is scientific research? What is a theory? What is a hypothesis? How to find a research question?
3 Design and methodology, reviewing literature, theoretical frameworks
4 Conceptualization, operationalization, measurement
5 Designing field and ethnographic research, participant observation method
6 Interviewing, structured and semi-structured interviews, elite interviews
7 Content and text analysis
8 What is an experiment? Conducting experiments in social sciences.
9 Introduction to statistical analysis, statistical methods
10 Introduction to statistical analysis, statistical methods
11 Survey research
12 Comparative methods
13 Comparative methods
14 Mixed methods approach to research
15 Course overview

Sources

Course Book 1. King, Gary, Robert O. Keohane, and Sidney Verba. Designing social inquiry: Scientific inference in qualitative research. Princeton university press, 2021.
2. Bernard, H. Russell, and Harvey Russell Bernard. Social research methods: Qualitative and quantitative approaches. Sage, 2013.
3. Lawrence Neuman, William. Social research methods: qualitative and quantitative approaches. Pearson, 2014.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 20
Presentation 1 10
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses
Major Area Courses X
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 Improving knowledge and understanding of the disciplines political science and public administration so as to enable the Ph. D. candidates to produce new knowledge on these disciplines.
2 Improving knowledge and understanding in the parallel disciplines of sociology, anthropology, history etc. to create a multi-disciplinary perspective of the field of study.
3 Introducing and improving knowledge and skills of qualitative and quantitative research methodologies and methods so as to create a capacity to utilize them in researches in the field of political science and public administration.
4 Enabling the Ph. D. candidates to utilize their thoretical, methodological, and multi-disciplinary knowledge so as to critically understand the discussions in those fields, and to understand the gaps in the literature concerned.
5 Improving academic writing skills so as to enable the Ph. D. candidates to write their dissertations or research papers in a suitable manner.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 4 8 32
Presentation/Seminar Prepration 1 8 8
Project
Report
Homework Assignments 2 4 8
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 15 15
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 125