QUALITATIVE DATA ANALYSIS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
SOS382	QUALITATIVE DATA ANALYSIS	5	3	3	5

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Elective
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assoc.Prof. BÜLENT İLHAN
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to help students recognize qualitative research methods, use them in an active way, gain the ability to analyze and interpret qualitative research findings, and develop a qualitative research proposal.
Contents of the Course Unit:	Contents of the course include; introduction of the application areas of qualitative research, introduction and use of NVIVO program, preliminary preparation of research, design of interview, sample selection, decoding of interview findings, qualitative data analysis and reporting.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Relates the theoretical knowledge of qualitative research methods with this course (2) and apply this knowledge through NVIVO
Interprets the findings of a research conducted with qualitative research method.
Analyzes a research topic within the framework of qualitative research methods.
Surveys a questionnaire on a qualitative research topic.
Analyzes the data collected during the research through NVIVO.
Evaluates the results of the data in the framework of qualitative research rules.
Recommends appropriate research for qualitative research.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Introduction to Qualitative Data Analysis; basic concepts	Lecture -Demonstration
2	Reading	Qualitative Research Design	Lecture -Demonstration
3	Reading	Interview, group interviews and in-depth interview characteristics	Lecture -Demonstration
4	Reading	Interview, collection of decoding observation data	Lecture -Demonstration
5	Reading	Introduction to the programme NVIVO description of menus I	Lecture -Demonstration
6	Reading	Introduction to the programme NVIVO description of menus II	Lecture -Demonstration
7	Reading	Decoding and preparation of data to be analysed through the programme NVIVO	Lecture -Demonstration
8	-	MID-TERM EXAM	-
9	Reading	Qualitative Data Analysis Application in NVIVO	Lecture -Demonstration
10	Reading	Confidence and ethics in Qualitative Data Analysis	Lecture -Demonstration
11	Reading	Evaluation of Analysis Results	Lecture -Demonstration
12	Reading	Reporting Qualitative Data Analysis Results I	Lecture -Demonstration
13	Reading	Reporting Qualitative Data Analysis Results II	Lecture -Demonstration
14	Reading	Discussion and Evaluation on Example Qualitative Data Analysis Results	Lecture -Demonstration
15	Reading	Discussion with students about appropriate research proposal for qualitative research	Lecture -Demonstration
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Bas, Turker, Ulun Akturan. (2008). Nitel arastirma yontemleri: NVivo 7.0 ile nitel veri analizi. Istanbul: Seckin Publications
Yıldırım, A., Simsek, H. . (2003). Sosyal bilimlerde nitel arastirma yontemleri. Ankara: Seckin Publications.
Turnuklu, Abbas. (2000). Egitimbilim Arastirmalarinda Etkin Olarak Kullanilabilecek Nitel Bir Araştırma Teknigi: Gorusme. Kuram ve Uygulamada Egitim Yonetimi Journal ,6 (4), 543-559.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Define the basic concepts of economics, administrative and human sciences. (Bloom 1)
2	Evaluate the economic environment and overall sustainability of firms. (Bloom 4)

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Relate principles and concepts of economics and finance with other disciplines. (Bloom 4)
2	Define principles, concepts, methods and theories related with economics and finance. (Bloom 1)

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Interpret the charts and tables related to the field. (Bloom 2)

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluate the theoretical models of economic policies which have direct or indirect effects by using the facts and dynamics of the economic system.(Bloom 4)
2	Analyze economic and financial reports. ((bloom 4)
3	Use basic mathematics, statistics and econometric methods and tools to solve economic and financial problems. (Bloom 3)
4	Interpret the operation of current economic, political and social events by using institutional information related with Economics and Finance.(Bloom 2)

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Organize economic and financial activities in humanitarian and social terms with adherence to ethics. (Bloom 4).

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Develop a critical perspective on national and international economic, political, social, financial and development problems. (bloom 6)

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Follow the agenda on economics, politics and social issues and improve himself/ herself. (bloom 6)

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Analyze current issues and problems by using the structure and properties of Macro and Microeconomics and variables. (Bloom 4)
2	Evaluate the effectiveness of the general economic system and public policies and their effects on markets and basic economic variables.(Bloom 4)
3	Analyze the cause and effect relationships between the relevant economic variables. (Bloom 4)
4	Evaluate the expected trends and portfolio analyzes in interest and exchange rates within the framework of the general financial system. (Bloom 4)

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	13	2	26
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	12	4	48
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	1	6	6
Mid-Term Exam	0	0	0
Preparation for the Mid-Term Exam	1	4	4
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	42	0	127