Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
RESEARCH IN BEHAVIORAL SCIENCES 600306711120 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 Ömay ÇOKLUK
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.
4) Reaches the scientific resources to search literature for a research problem.
5) Defines the general objectives and sub-objectives.
6) Explains the importance of a research problem.
7) Defines the assumptions necessary for a research.
8) Describes appropriate limitations to a research problem.
9) Makes a distinction between functional and conceptual definitions.
10) Defines the research model.
11) Compares different research models.
12) Explains sampling methods.
13) Compares different sampling methods.
14) Knows appropriate data collection techniques for research purposes.
15) Chooses data analysis techniques appropriate to the type and level of data collected.
16) Establishes the connection of research findings to objectives.
17) Establishes links between research findings and implications for practitioners and future research.
18) Reports the research process in accordance with scientific writing and reporting principles.
19) Follows ethical rules in the planning,process and reporting of the research

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
Final Exam

1. Week Scientific Writing and Reporting Principles Lecture; Question Answer; Discussion; Case Study
Colloquium
 Presentation (Including Preparation Time)
2. Week Science and Research Ethics Lecture; Question Answer; Discussion; Case Study
Colloquium
 Presentation (Including Preparation Time)
3. Week Science, philosophy of science, positivist and post-positivist paradigms Lecture; Question Answer; Discussion; Case Study
Colloquium
 Presentation (Including Preparation Time)
4. Week Introduction section of Quantitative Research: Identification of Problem Lecture; Question Answer; Discussion; Case Study
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; Discussion; Case Study
Colloquium
 Presentation (Including Preparation Time)
6. Week Methodology in Quantitative Research: Research Models, Experimental Designs Lecture; Question Answer; Discussion; Case Study
Colloquium
 Presentation (Including Preparation Time)
7. Week Methodology in Quantitative Research: Research Models, single-subject research Lecture; Question Answer; Discussion; Case Study
Opinion Pool
 Presentation (Including Preparation Time)
8. Week Methodology in Quantitative Research: Research Models, Survey research Lecture; Question Answer; Discussion; Case Study
Colloquium
 Presentation (Including Preparation Time)
9. Week Methodology in Quantitative Research: Research Models, Causal-Comparative research Lecture; Question Answer; Discussion; Case Study
Large Group Discussion
 Presentation (Including Preparation Time)
10. Week Methodology in Quantitative Research: Sampling Methods Lecture; Question Answer; Discussion; Case Study
Large Group Discussion
 Presentation (Including Preparation Time)
11. Week Methodology in Quantitative Research: Data Collection Methods Lecture; Question Answer; Discussion; Case Study
Large Group Discussion
 Presentation (Including Preparation Time)
12. Week Methodology in Quantitative Research: Data Collection Instruments Lecture; Question Answer; Discussion; Case Study
Large Group Discussion
 Presentation (Including Preparation Time)
13. Week Methodology in Quantitative Research: Data Analysis Lecture; Question Answer; Problem Solving; Discussion; Case Study
Large Group Discussion
 Presentation (Including Preparation Time)
14. Week Findings, Conclusions and Recommendations in Quantitative Research Lecture; Question Answer; Discussion; Case Study
Large Group Discussion
 Presentation (Including Preparation Time)
15. Week Foundations of Qualitative Research Lecture; Question Answer; Discussion; Case Study
Large Group Discussion
 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.
Baykul, Y. (1999). İstatistik: Metodlar ve Uygulamalar. Ankara: Anı Yayıncılık.
Büyüköztürk, Ş. (2011). Deneysel Desenler (2. Baskı). Ankara: Pegem Akademi.
Büyüköztürk, Ş. (2014) . Sosyal Bilimler İçin Veri Analizi El Kitabı. Ankara: Pegem Akademi.
Büyüköztürk, Ş., Çakmak, E. K., Akgün, Ö. E., Karadeniz, Ş. ve Demirel, F. (2008). Bilimsel Araştırma Yöntemleri. Ankara: Pegem Akademi.
Creswell, J.W. (2009). Research Design: Qualitative, Quantitative and Mixed Methods Approaches. California: SAGE Publication.
Day, R.A. (2000). Bilimsel Bir Makale Nasıl Yazılır ve Yayınlanır? (Çev.: G.A. Altay. Ankara: TÜBİTAK Yayınları.
Erkuş, A. (2003). Psikometri Üzerine Yazılar. Akara: Türk Psikologlar Derneği.
Erkuş, A. . Psikolojide Ölçme ve Ölçek Geliştirme-I: Temel Kavramlar ve İşlemler. Ankara: Pegem Akademi.
Fink, A. (1995a). The Survey Handbook. USA: Sage Publication.
Fink, A. (1995b). How To Sample In Surveys. USA: Sage Publication.
Fowler, F. J. (1993). Survey Research Methods. USA: Sage Puplication.
Fraenkel, J. R. and Wallen N. E. (1990). How To Design And Evaluate Research In Education. San Francisco: McGraw-Hill Publishing Company.
Gay, L. R. (1987). Educational Research Competencies For Analysis and Application. USA: Merrill Publishing Company.
İşçil, N. (1977). Örnekleme Yöntemleri. Ankara: AİTİA Yayınları.
Kalton, G. (1983). Introduction to Sampling Survey. USA: Sage Puplication.
Karasar, N. (2012). Araştırmalarda Rapor Hazırlama. Ankara: Nobel Akademik Yayıncılık.
Karasar, N. (2012). Bilimsel Araştırma Yötemleri. Akara: Noel Akademik Yayıncılık.
Özmen, A. (1999). Örnekleme. (Edt. Ali Atıf Bir). Sosyal Bilimlerde Araştırma Yöntemleri. Eskişehir: Anadolu Üniversitesi Açık Öğretim Fakültesi Yayınları, 1081, 601.
Tekin, H. (2007). Eğitimde Ölçme ve Değerlendirme. Ankara: Yargı Yayınevi.
Wang, L. and Fan, X. (1997). The Effect Of Cluster Sampling Design In Survey Research On The Standard Error Statistic. The Annual Meeting Of The American Educational Research Association. Chicago
Yıldırım, A. ve Şimşek, H. (2005). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. Ankara: Seçkin Yayınları.

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 6
Presentation (Including Preparation Time) 1 15
Report (Including Preparation and presentation Time) 1 10
Activity (Web Search, Library Work, Trip, Observation, Interview etc.) 16 1
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 16 1
Midterm Exam 1 3
Time to prepare for Midterm Exam 1 12
Final Exam 1 3
Time to prepare for Final Exam 1 16
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