The aim of this course is to seek detailed answers to the questions of why and how, and includes research patterns designed to understand the situations in which in-depth information is desired. The aim of the course is to provide students with the ability to identify problem situations in various research designs in qualitative research, to form a working group, to collect data, to analyze and interpret the collected data.
Course Content
This course contains; Introducing the course and talking about the course topics in general,General characteristics of qualitative data and qualitative data analysis,Basic concepts in qualitative data analysis,Types of qualitative data analysis: Descriptive analysis and qualitative content analysis,Qualitative data analysis types: Speech analysis, discourse analysis,Qualitative data analysis types: Thematic analysis,Qualitative Data analysis types: narrative analysis,Types of qualitative data analysis: Interpretive phenomenological analysis, Ethnographic analysis, continuous comparison analysis,Comparison of qualitative data analysis approaches,Ethical issues in the qualitative data analysis process,Qualitative Data Analysis Practice,Qualitative Data Analysis Practice,Qualitative Data Analysis Practice,Qualitative Data Analysis Practice.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Explains the basic features of qualitative data and qualitative data analysis.
16, 9
A
2. Explains the basic features of qualitative data and analysis.
16, 9
A
3. Explains basic concepts related to qualitative data analysis such as coding and theme creation.
16, 9
A
4. Classifies types of qualitative data analysis.
16, 9
A
5. Discuss ethical issues in the qualitative data analysis process
16, 9
A
6. Explain computer-aided qualitative data analysis programs.
16, 9
A
7. Uses computer software in coding and analyzing qualitative data.
16, 9
A
8. Writes reports suitable for qualitative data analysis types.
16, 9
A
9. Describes different approaches to writing qualitative data.
Introducing the course and talking about the course topics in general
2
General characteristics of qualitative data and qualitative data analysis
Reading the relevant section from the book
3
Basic concepts in qualitative data analysis
Reading the relevant section from the book
4
Types of qualitative data analysis: Descriptive analysis and qualitative content analysis
Reading the relevant section from the book
5
Qualitative data analysis types: Speech analysis, discourse analysis
Reading the relevant section from the book
6
Qualitative data analysis types: Thematic analysis
Reading the relevant section from the book
7
Qualitative Data analysis types: narrative analysis
Reading the relevant section from the book
8
Types of qualitative data analysis: Interpretive phenomenological analysis, Ethnographic analysis, continuous comparison analysis
Reading the relevant section from the book
9
Comparison of qualitative data analysis approaches
Reading the relevant section from the book
10
Ethical issues in the qualitative data analysis process
Reading the relevant section from the book
11
Qualitative Data Analysis Practice
12
Qualitative Data Analysis Practice
13
Qualitative Data Analysis Practice
14
Qualitative Data Analysis Practice
Resources
Qualitative Research Methods - John C. Creswell 2021
Introduction to Mixed Methods Research - John C. Creswell 2017
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Defines the theoretical issues in the field of management.
X
2
Describes the necessary mathematical and statistical methods in the field of management.
X
3
Uses at least one computer program in the field of management.
X
4
Gains the necessary research skills to conduct academic studies.
X
5
Student has the ability of time management.
X
6
Adopts the principles of scientific ethics and scientific responsibility.
X
7
Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
X
8
Uses theoretical and practical knowledge in the field of management.
X
9
To be able to produce or interpret an original work by making at least one scientific study related to the field and expanding the boundaries of knowledge in the field.
X
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
50
Rate of Final Exam to Success
50
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
0
0
0
Resolution of Homework Problems and Submission as a Report
0
0
0
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
0
0
0
Midterm Exam
15
5
75
General Exam
20
8
160
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
277
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(277/30)
9
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
QUALITATIVE RESEARCH METHODS in SOCIAL SCIENCES
YSTD1214361
Spring Semester
3+0
3
9
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
Third Cycle (Doctorate Degree)
Course Type
Elective
Course Coordinator
Assoc.Prof. Elif BAYKAL
Name of Lecturer(s)
Assoc.Prof. Elif BAYKAL
Assistant(s)
Aim
The aim of this course is to seek detailed answers to the questions of why and how, and includes research patterns designed to understand the situations in which in-depth information is desired. The aim of the course is to provide students with the ability to identify problem situations in various research designs in qualitative research, to form a working group, to collect data, to analyze and interpret the collected data.
Course Content
This course contains; Introducing the course and talking about the course topics in general,General characteristics of qualitative data and qualitative data analysis,Basic concepts in qualitative data analysis,Types of qualitative data analysis: Descriptive analysis and qualitative content analysis,Qualitative data analysis types: Speech analysis, discourse analysis,Qualitative data analysis types: Thematic analysis,Qualitative Data analysis types: narrative analysis,Types of qualitative data analysis: Interpretive phenomenological analysis, Ethnographic analysis, continuous comparison analysis,Comparison of qualitative data analysis approaches,Ethical issues in the qualitative data analysis process,Qualitative Data Analysis Practice,Qualitative Data Analysis Practice,Qualitative Data Analysis Practice,Qualitative Data Analysis Practice.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Explains the basic features of qualitative data and qualitative data analysis.
16, 9
A
2. Explains the basic features of qualitative data and analysis.
16, 9
A
3. Explains basic concepts related to qualitative data analysis such as coding and theme creation.
16, 9
A
4. Classifies types of qualitative data analysis.
16, 9
A
5. Discuss ethical issues in the qualitative data analysis process
16, 9
A
6. Explain computer-aided qualitative data analysis programs.
16, 9
A
7. Uses computer software in coding and analyzing qualitative data.
16, 9
A
8. Writes reports suitable for qualitative data analysis types.
16, 9
A
9. Describes different approaches to writing qualitative data.
Introducing the course and talking about the course topics in general
2
General characteristics of qualitative data and qualitative data analysis
Reading the relevant section from the book
3
Basic concepts in qualitative data analysis
Reading the relevant section from the book
4
Types of qualitative data analysis: Descriptive analysis and qualitative content analysis
Reading the relevant section from the book
5
Qualitative data analysis types: Speech analysis, discourse analysis
Reading the relevant section from the book
6
Qualitative data analysis types: Thematic analysis
Reading the relevant section from the book
7
Qualitative Data analysis types: narrative analysis
Reading the relevant section from the book
8
Types of qualitative data analysis: Interpretive phenomenological analysis, Ethnographic analysis, continuous comparison analysis
Reading the relevant section from the book
9
Comparison of qualitative data analysis approaches
Reading the relevant section from the book
10
Ethical issues in the qualitative data analysis process
Reading the relevant section from the book
11
Qualitative Data Analysis Practice
12
Qualitative Data Analysis Practice
13
Qualitative Data Analysis Practice
14
Qualitative Data Analysis Practice
Resources
Qualitative Research Methods - John C. Creswell 2021
Introduction to Mixed Methods Research - John C. Creswell 2017
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Defines the theoretical issues in the field of management.
X
2
Describes the necessary mathematical and statistical methods in the field of management.
X
3
Uses at least one computer program in the field of management.
X
4
Gains the necessary research skills to conduct academic studies.
X
5
Student has the ability of time management.
X
6
Adopts the principles of scientific ethics and scientific responsibility.
X
7
Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
X
8
Uses theoretical and practical knowledge in the field of management.
X
9
To be able to produce or interpret an original work by making at least one scientific study related to the field and expanding the boundaries of knowledge in the field.
