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Course Details
KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Business Administration Doctorate
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
81410100 Advanced Research Methods 1 Autumn 1 3+0+0 7,5 7,5
Course Type Compulsory
Course Cycle Doktora (TQF-HE: Level 8 / QF-EHEA: Level 3 / EQF-LLL: Level 8)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Asst. Prof. Ufuk AY
Instructor Assistant(s) -
Course Content
The course includes research methods, research design, primary and secondary research; qualitative and quantitative data collection techniques, universe and sample detection, qualitative and quantitative data analysis, reporting.
Objectives of the Course
The aim of this course is to enable students to gain an advanced level of knowledge about how to design a scientific research and to pay attention to what to consider in data collection, analysis and reporting.
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Weekly Detailed Course Contents
Week Topics
1 Sosyal Bilimlerde pozitivist, yorumsamacı ve Post-modern araştırma yaklaşımları
2 Nitel ve Nicel araştırma yaklaşımları
3 Araştırma Tasarımı
4 Araştırma modelleri ve modellemesi
5 Araştırmanın amacı, önemi, kapsamı, değişken tipleri ve hipotez yazımı
6 Veri tipleri, birincil ve ikincil veriler, nitel ve nicel veriler, veri toplama teknikleri
7 Araştırma modeli ve değişken türlerine göre uygun analiz seçimi
8 SPSS'le veri analizi
9 SPSS'le veri analizi
10 AMOS, LISREL ve Yapısal Eşitlik Modellemesi hakkında temel bilgiler
11 AMOS ve LISREL ile basit yapısal modellerin testi
12 İntihal, İntihal tipleri ve intihalden kaçınmak için yapılması gerekenler
13 Raporlama
14 Raporlama
Textbook or Material
Resources 2 Field, A. (2009). Discovering statistics using SPSS. Sage publications.
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 0 0 0
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 0 0 0
Midterms 0 0 0
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 0 0 0
Other 0 0 0
Total Work Load: 0
Total Work Load / 30 0
Course ECTS Credits: 0