Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|
QUALITATIVE RESEARCH METHODS in SOCIAL SCIENCES | YSTD1214361 | Spring Semester | 3+0 | 3 | 9 |
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. | 16, 9 | A |
Teaching Methods: | 16: Question - Answer Technique, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | 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 |
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. | 16, 9 | A |
Teaching Methods: | 16: Question - Answer Technique, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | 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 |
Numerical Data
Ekleme Tarihi: 04/01/2024 - 17:11Son Güncelleme Tarihi: 04/01/2024 - 17:11
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