Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
DAVRANIŞ BİLİMLERİNDE ARAŞTIRMA YÖNTEMLERİ 600519741020 0 + 0 3.0 8.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals This course is intended to provide graduate students with the necessary knowledge and skills to conduct independent research and contribute to their ability to become researchers with scientific attitudes and behaviors.
Course Content In this course, science, philosophy of science, research approaches and quantitative research are examined in detail.
Learning Outcomes 1) Defines the basic concepts of research, such as knowledge, science, philosophy of science, stages of scientific method
2) Explains positivist and post-positivist paradigms.
3) Defines a research problem to conduct research on a subject.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Scientific Writing and Reporting Principles Lecture; Question Answer
Colloquium
 Presentation (Including Preparation Time)
2. Week Science and Research Ethics Lecture; Question Answer
Colloquium
 Presentation (Including Preparation Time)
3. Week Science, philosophy of science, positivist and post-positivist paradigms Lecture; Question Answer
Opinion Pool
 Presentation (Including Preparation Time)
4. Week Introduction section of Quantitative Research: Identification of Problem Lecture; Question Answer
Colloquium
 Presentation (Including Preparation Time)
5. Week Introduction section of Quantitative Research: Problem, literature review, classification of variables, hypothesis, purpose, importance, limitations, definitions, abbreviations Lecture; Question Answer
Opinion Pool
 Presentation (Including Preparation Time)
6. Week Methodology in Quantitative Research: Research Models, Experimental Designs Lecture; Question Answer
Opinion Pool
 Presentation (Including Preparation Time)
7. Week Methodology in Quantitative Research: Research Models, single-subject research Lecture; Question Answer
Opinion Pool
 Presentation (Including Preparation Time)
8. Week Methodology in Quantitative Research: Research Models, Survey research Lecture; Question Answer
Colloquium
 Presentation (Including Preparation Time)
9. Week Methodology in Quantitative Research: Research Models, Causal-Comparative research Lecture; Question Answer
Opinion Pool
 Presentation (Including Preparation Time)
10. Week Methodology in Quantitative Research: Sampling Methods Lecture; Question Answer
Colloquium
 Presentation (Including Preparation Time)
11. Week Methodology in Quantitative Research: Data Collection Methods Lecture; Question Answer
Colloquium
 Presentation (Including Preparation Time)
12. Week Methodology in Quantitative Research: Data Collection Instruments Lecture; Question Answer
Colloquium
 Presentation (Including Preparation Time)
13. Week Methodology in Quantitative Research: Data Analysis Lecture; Question Answer
Colloquium
 Presentation (Including Preparation Time)
14. Week Findings, Conclusions and Recommendations in Quantitative Research Lecture; Question Answer
Colloquium
 Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Altunışık, R., Coşkun, R., Yıldırım, E. ve Bayraktaroğlu S. (2002). Sosyal Bilimlerde Araştırma Yöntemleri SPSS Uygulamalı. Sakarya: Sakarya Kitabevi
APA (2010). Publication Manual of the American Psychological Association. Washington, DC: American Psychological Association.
Balcı, A. (2005). Sosyal Bilimlerde Araştırma Yöntem, Teknik ve İlkeler. Ankara: Pegem Yayıncılık.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 16 3
Work Hour outside Classroom (Preparation, strengthening) 16 3
Homework 3 10
Presentation (Including Preparation Time) 3 10
Activity (Web Search, Library Work, Trip, Observation, Interview etc.) 3 10
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 3 10
Final Exam 1 3
Time to prepare for Final Exam 1 20
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • ECTS credits and course workload