COURSE SYLLABUS

QUALITATIVE ANALYSIS METHODS IN RELIGIOUS STUDIES

1	Course Title:	QUALITATIVE ANALYSIS METHODS IN RELIGIOUS STUDIES
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 studies.
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.

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 studies.;
2	prepare qualitative data for analysis;
3	define the general features of MaxQda, the qualitative analysis softwares;
4	create a new project file with MaxQda;
5	transfer written, visual and audio data to MaxQda;
6	code and create themes using MaxQda;
7	create demographic data in MaxQda;
8	perform qualitative analysis of videos with NVivo and MaxQda;
9	analyze qualitative data with 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 Studies
2	General characteristics of qualitative analysis softwares used in religious studies
3	Characteristics of qualitative data and preparation of analysis
4	Maxqda as a qualitative analysis software and general features. Installing the software and creating a new project
5	Importing of written, audiovisual data to Maxqda
6	Key Concepts in Maxqda: Explore the sample project
7	Coding and making nodes in Maxqda
8	Working with demographic data using Maxqda
9	Qualitative analysis of videos with Maxqda
10	Using visual tools and creating concept maps
11	Comparing cases and groups
12	Quantitative analysis of data with MaxQda
13	Mixed Methods
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

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High