1-To explain the basic features of major patterns in qualitative research method.
2-To be able to explain basic data collection techniques in qualitative research according to the basic features of patterns
3-To be able to collect qualitative data suitable for a specified topic
4-To be able to explain the data analysis technique suitable for the characteristics of the data obtained in qualitative research.
5-To be able to report qualitative research.
20
Contribution of the Course to Professional Development
To make studies that will contribute to the literature by using qualitative research methods effectively
21
Learning Outcomes:
1
Explain the basic characteristics of qualitative and quantitative research methods.;
2
Can compare the basic features of major data collection techniques in qualitative research method.;
3
Explain the basic data collection techniques in qualitative research method according to the basic features of the patterns.;
4
Can collect qualitative data suitable for a specified topic.;
5
Explain the data analysis technique suitable for the characteristics of the data obtained in qualitative research.;
6
Evaluates the appropriateness of reporting research conducted with qualitative research methods.;
7
Will be able to compare the basic features of major patterns in qualitative research method.;
22
Course Content:
Week
Theoretical
Practical
1
Mentioning the course achievements and basic rules
2
Determining the differences between qualitative and quantitative research methods
3
Validity, reliability, ethics in qualitative research
4
Data collection techniques in qualitative research (Observation)
5
Data collection techniques in qualitative research (Interview)
6
Data collection techniques in qualitative research (Document analysis)
7
Qualitative research patterns (Phenomology)
8
Qualitative research designs (Case Study)
9
Qualitative research patterns (Ethnography)
10
Qualitative research patterns (Gronded theory)
11
Qualitative research patterns (Action research)
12
Challenges in qualitative research
13
Qualitative data analysis
14
Final Exam
23
Textbooks, References and/or Other Materials:
1- Yıldırım, A. & Şimşek, A. (2018). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin yayıncılık 2- Saban, A. & Ersoy, A. (2019). Eğitimde Nitel Araştırma Desenleri. Anı Yayıncılık 3- Huberman, A. M. & Miles, M.B. (2019). Nitel Veri Analizi (Çev.Ed. Ali Ersoy, Sadegül Akbaba Altun) Pegem Akademi 4-Glesne, C. (2015). Nitel Araştırmaya Giriş. (Çev. Ed. Ali Ersoy, Pelin Yalçıoğlu). Anı Yayıncılık.
24
Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
25
Quiz
0
0
Homeworks, Performances
1
50
Final Exam
1
25
Total
3
100
Contribution of Term (Year) Learning Activities to Success Grade
75
Contribution of Final Exam to Success Grade
25
Total
100
Measurement and Evaluation Techniques Used in the Course
Homework, performance, final exam
Information
Absolute evaluation
25
ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
2
28
Practicals/Labs
0
0
0
Self Study and Preparation
14
3
42
Homeworks, Performances
1
5
20
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
10
10
Others
0
0
0
Final Exams
1
20
20
Total WorkLoad
120
Total workload/ 30 hr
4
ECTS Credit of the Course
4
26
CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
