RESEARCH DESIGN IN SOCIAL SCIENCES

MAN608

Course Code: MAN608
Semester: -
Theory+Practice: 3 + 0
ECTS: 15

Course Type

Elective Course

Course Level

Doctorate Of Science

Year of Study

Semester

ECTS

Name of Lecturer(s)

Professor Hakkı Okan Yeloğlu

Learning Outcomes

At the end of this course, the students;

To learn basic research techniques with underlying philosophical foundations and let them master the techniques by using hands-on approach.
To learn basic concepts of research methodology such as theory, hypothesis, theory formation and main steps of the research endeavor (choosing the subject, formulating hypothesis, designing the research, data collection, analysis and reporting).
To practice the techniques taught in the class by actually doing them.
To equip themselves with the tools of research which enable them to conduct their own research independently.
Know data analysis and report techniques.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

Course Description

This course aims to examine the basic research process (problem determination, data collection, data analysis and interpretation of results), to observe the main scientific research methods (experimental method, description method etc.) and to find the research question (hypothesis), conceptualization, operationalization, measurement, data collection, data analysis, data evaluation / interpretation and report writing techniques.

Course Contents

WEEK	TOPICS
1^st Week	Ethical Principles in Scientific Research
2^nd Week	Ethical Rules Specific to Social Sciences.
3^rd Week	Determination of variables/ Determiantion of Hypothesis/ Generation of the Research Model
4^th Week	Measuring and Scaling
5^th Week	Scaling and Measuring Errors/ Validity and Reliability
6^th Week	Selection of Population and Sampling/ Sampling Error
7^th Week	Data and Data Gathering Resources/ First Hand Data Collection Methods.
8^th Week	Mid-Term Exam
9^th Week	Data Management and Ordering Data With SPSS/ Descriptive Statistical Analyses.
10^th Week	Statistical Data Analyses.
11^th Week	Descriptive Statistical Analyses
12^th Week	Analysis of Frequency
13^th Week	Overall Assessment and Pre-Presentation of Proects
14^th Week	General Assessment
15^th Week	Final Exam

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Questions/Answers
Case Study
Problem Solving
Experiment
Practice
Project
Report Preparation
Presentation

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Project	1	30
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	3	3
Preparation for Quiz
Individual or group work	3	40	120
Preparation for Final exam	1	60	60
Course hours	14	3	42
Preparation for Midterm exam	1	30	30
Laboratory (including preparation)
Final exam	1	50	50
Homework	3	30	90
Project	1	60	60
Total Work Load			455
Total Work Load / 30 (h)			15.16
ECTS Credit of the Course			15

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5
K1				X	X
K2				X
K3			X		X
K4				X	X
K5		X			X
K6			X
K7				X
K8			X		X
K9			X
K10			X	X
K11			X		X