1	Course Title:	QUALITY ANALYSIS METHODS IN RELIGIOUS EDUCATION RESEARCHES
2	Course Code:	FDB6153
3	Type of Course:	Optional
4	Level of Course:	Third Cycle
5	Year of Study:	1
6	Semester:	1
7	ECTS Credits Allocated:	7
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Doç. Dr. TURGAY GÜNDÜZ
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	E-mail: tgunduz@uludag.edu.tr, Tel: 0224 243 10 66 / 60420 Adres: Fethiye Mh. Kırlangıç sk. No: 2, U.Ü. İlahiyat Fakültesi, Yeni Bina, 2. Kat, No: 239, Nilüfer -BURSA
18	Website:
19	Objective of the Course:	The objective of the course is to gain the knowledge and ability to analyze quantitative data using qualitative analysis software such as NVivo and MaxQda in religious education research.
20	Contribution of the Course to Professional Development	Providing the graduates with the knowledge and skills to make qualitative analysis in possible fields of study such as teaching, religious service, and academia.

21

Learning Outcomes:

1 At the completion of this course students will be able to: describe the general characteristics of qualitative analysis software used in religious education research.; 2 prepare qualitative data for analysis; 3 define the general features of NVivo and MaxQda, the qualitative analysis softwares; 4 create a new project file with NVivo and MaxQda; 5 transfer written, visual and audio data to NVivo and MaxQda; 6 code and create themes using NVivo and MaxQda; 7 create demographic data in NVivo and MaxQda; 8 perform qualitative analysis of videos with NVivo and MaxQda; 9 analyze qualitative data with NVivo and MaxQda; 10 list what kind of information the research report will cover based on qualitative data.;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to qualitative research in Religious Education
2	General characteristics of qualitative analysis softwares used in religious education research
3	Characteristics of qualitative data and preparation of analysis
4	NVivo as a qualitative analysis software and general features.
5	Importing of written, audiovisual data to NVivo
6	Key Concepts in NVivo: Explore the sample project
7	Coding and making nodes in NVivo
8	Working with demographic data using NVivo
9	Qualitative analysis of videos with NVivo
10	MaxQda: A Qualitative analysis software and its general features
11	Coding and making nodes in MaxQda, and working with demographic data using MaxQda
12	Qualitative analysis of videos with MaxQda
13	Quantitative analysis of data with MaxQda
14	How to write a research report?

23	Textbooks, References and/or Other Materials:	Bal, Hüseyin, Nitel Araştırma Yöntemi, Isparta: Fakülte Kitabevi, 2013. Berg, Bruce L., Howard Lune. Sosyal Bilimlerde Nitel Araştırma Yöntemleri, (çev. Hasan Aydın), Eğitim Kitabevi, 2015. Christensen, Larry B., R. Burke Johnson, Lisa A. Turner. Araştırma Yöntemleri: Desen ve Analiz, 2.bs. çev. ed. Ahmet Alpay. Ankara: Anı Yayıncılık, 2015. Creswell, John W. Araştırma Deseni: Nitel, Nicel ve Karma Yöntem Yaklaşımları. Çev. ed. Selçuk Beşir Demir, 2. bs. Ankara: Eğiten Kitap Yayıncılık, 2016. Creswell, John W. Nitel Araştırma Yöntemleri: Beş Yaklaşıma Göre Nitel Araştırma ve Araştırma Deseni, Ankara: Siyasal Kitabevi, 2016. Kuş, Elif. Nicel-Nitel Araştırma Teknikleri. 4. bs. Ankara: Anı Yayıncılık, 2012. Merriam, Sharan B. Nitel Araştırma: Desen ve Uygulama için Bir Rehber. Gözden Geçirilmiş Yeni Basım. Çev. Ed. Selahattin Turan. Ankara: Nobel Yayıncılık, 2015. Yıldırım, Ali – Hasan Şimşek. Sosyal Bilimlerde Nitel Araştırma Yöntemleri, Ankara: Seçkin Yayıncılık, 2008. Zengin, Halise Kader, “Din Eğitimi Bilimi Araştırmalarında Videoların Nitel Analizi: Nvivo8 Örneği”, Ankara Üniversitesi İlahiyat Fakültesi Dergisi 53:1 (2012), ss.85-110, DOI: 10.1501/Ilhfak_0000001097. Richards, Lyn, Using NVivo in Qualitative Research, Sage Publications, London, 1999.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	0	0
Quiz	0	0
Homeworks, Performances	2	40
Final Exam	1	60
Total	3	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	Measurement and evaluation are performed according to the Rules & Regulations of Bursa Uludağ University on Graduate Education.
Information

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ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	6	84
Homeworks, Performances	2	41	82
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	0	0	0
Others	0	0	0
Final Exams	1	2	2
Total WorkLoad			210
Total workload/ 30 hr			7
ECTS Credit of the Course			7

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 3 0 5 0 0 0 0 0 0 0 0 0 LO2 3 0 0 0 0 0 0 5 0 0 0 0 LO3 3 0 0 0 0 0 0 0 0 0 0 0 LO4 0 0 0 0 0 0 0 5 0 0 0 0 LO5 0 0 0 0 0 0 0 5 0 0 0 0 LO6 0 0 0 0 0 0 0 5 0 0 0 0 LO7 0 0 0 0 0 0 0 5 0 0 0 0 LO8 0 0 0 0 0 0 0 5 0 0 0 0 LO9 0 0 0 0 0 0 0 5 0 0 0 0 LO10 0 0 0 0 0 0 0 5 0 0 0 0

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High