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COURSE SYLLABUS
DATA ANALYSIS IN QUALITATIVE RESEARCH
1 Course Title: DATA ANALYSIS IN QUALITATIVE RESEARCH
2 Course Code: BIL6111
3 Type of Course: Optional
4 Level of Course: Third Cycle
5 Year of Study: 1
6 Semester: 1
7 ECTS Credits Allocated: 3
8 Theoretical (hour/week): 2
9 Practice (hour/week) : 0
10 Laboratory (hour/week) : 0
11 Prerequisites:
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Doç. Dr. ŞEHNAZ BALTACI
16 Course Lecturers:
17 Contactinformation of the Course Coordinator: Doç.Dr. Şehnaz BALTACI
sehnazbg@uludag.edu.tr
224 2942216
Uludağ Üniversitesi Eğitim Fakültesi, A Blok, BÖTE Bölümü, 16059 Nilüfer,Bursa
18 Website:
19 Objective of the Course: To create a conceptual basis for the basic features and various methods of qualitative research, and on the other hand to make the multi-dimensional and complex qualitative research process understandable with examples from various studies.
20 Contribution of the Course to Professional Development Participants in this course will learn qualitative research techniques and ethical processes that they will use while doing academic work, and will gain the ability to produce scientific products that will add value to their field by incorporating their knowledge and experience into the work. These skills will be useful for them to investigate the problems they encounter in their professional lives in depth, to find solutions to the problems, to discuss and share with different groups.
21 Learning Outcomes:
1 To understand the basic features of qualitative research;
2 To know qualitative research types and process;
3 to collect data and carry out the study with qualitative research methods;
4 to create a qualitative research proposal for a problem situation;
5 to analyze and interpret data obtained from qualitative research;
22 Course Content:
Week Theoretical Practical
1 The place of qualitative research in scientific research tradition
2 The issues that distinguish qualitative data analysis from quantitative data analysis.
3 What is qualitative data? What are the basic principles of qualitative data analysis?
4 The role of the researcher in qualitative data analysis
5 Commonly used qualitative data analysis types and basic bases.
6 Sampling in qualitative research
7 Interview and focus group interview techniques and analysis methods
8 Observation data collection tool and analysis method
9 Document review and analysis method
10 Descriptive analysis process steps. Various theoretical approaches.
11 Content analysis process steps. Various theoretical approaches.
12 Thematic analysis process steps. Various theoretical approaches.
13 Validity and Reliability in Qualitative Research
14 Case study
23 Textbooks, References and/or Other Materials: Miles and Huberman, Nitel veri analizi Johnny Saldana, Nitel Araştırmacılar İçin Kodlama El Kitabı John W. Creswell, Nitel Araştırmacılar İçin 30 Temel Beceri Güler, Halıcıoğlu Taşgın, Sosyal Bilimlerde Nitel Araştırma Yöntemleri. Yıldırım ve Şimşek, Sosyal Bilimlerde Nitel Araştırma Yöntemleri. John W. Creswell, Nitel Araştırma Yöntemleri Beş Yaklaşıma Göre Nitel Araştırma ve Araştırma Deseni.
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 0 0
Quiz 0 0
Homeworks, Performances 4 40
Final Exam 1 60
Total 5 100
Contribution of Term (Year) Learning Activities to Success Grade 40
Contribution of Final Exam to Success Grade 60
Total 100
Measurement and Evaluation Techniques Used in the Course Reflection papers and presentations
Information
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 12 2 24
Homeworks, Performances 4 4 16
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 0 0 0
Others 0 0 0
Final Exams 1 22 22
Total WorkLoad 90
Total workload/ 30 hr 3
ECTS Credit of the Course 3
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9
LO1 1 4 2 2 2 3 4 5 5
LO2 4 5 2 5 5 5 4 5 5
LO3 1 3 3 4 4 5 5 4 5
LO4 4 5 5 5 5 5 5 5 5
LO5 5 2 5 4 5 5 5 5 5
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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