Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Advanced Research Techniques I 601 Turkish Compulsory 3 + 0 3.0 10.0
Prerequisite Courses
Course Level Graduate
Mode of delivery Literature review, Basic readings, Discussion
Course Coordinator Doç. Dr. Yunus Emre TAŞGİT
Instructor(s) Doç. Dr. Yunus Emre TAŞGİT (Güz)
Goals The main purpose of this course; students to examine the basic paradigms in the philosophy of science in order to conduct a scientific research; to carry out detailed analysis on the basic structure of the scientific method; comprehend quantitative methods from scientific research methods; The aim is to enable students to practice learning the techniques of finding research questions, constructing hypotheses, measuring, data collection, data analysis, data evaluation/interpretation and report writing.
Course Content The basic paradigms of the Philosophy of Science and the basic structure of the Scientific Method Scientific research process Quantitative Research Method Data analysis programs (SPSS and LISREL) Conducting a scientific research
Learning Outcomes
# Öğrenme Kazanımı
1 Grasp of the basic statistical data
2 Identify and design the research process
3 Understand the reproductive cycle of science
4 Scales to be informed about
5 Knowledge of the scope of the research report writing
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Lesson Introduction – Discussion on Ways of Knowing Presentation (Preparation), Interview
2. Week • Book Review: The Ethics of Science (Albert Bayet) • Article Discussion: Transition to the Scientific View (J. Bronowski) • Determination of Research Topics • Data analysis: SPSS Program: Data Entry – Data Set Analysis Interview, Preparation, After Class Study, Presentation (Preparation)
3. Week • Book Critique: Discourse on Method (Descartes) • Article Discussion: Science and Philosophy (Rudolf Carnap) • Determining the Research Problem/Defining the Variables • Data analysis: SPSS Program: Difference Tests, Factor Analysis Presentation (Preparation), Preparation, After Class Study, Interview
4. Week • Book Criticism: A Theory of Knowing (Nebi Mehdiyev) • Article Discussion: What Does Proof Provide? (Cohen and Nagel) • Literature Review • Data analysis: SPSS Program: Exploratory Factor Analyzes Presentation (Preparation), Interview, Preparation, After Class Study
5. Week • Book Critique: Weber and Durkheim-A Methodological Comparison (Henrik Jensen) • Article Discussion: Validation Logic (Reichenbach) • Literature Writing • Data analysis: SPSS Program: Correlation and Regression Analysis Preparation, After Class Study, Presentation (Preparation), Interview
6. Week • Book Critique: The Scientific Method (Hugh G. Gauch Jr.) • Article Discussion: Invention Logic (Hanson) • Literature Writing • Data analysis: SPSS Program: MANOVA, Analysis of Covariance (ANCOVA), Chi-Square Tests Interview, Preparation, After Class Study, Presentation (Preparation)
7. Week • Book Critique: The Scientific Method (Hugh G. Gauch Jr.) • Article Discussion: The Crisis in Science and the Emergence of Theories (Thomas Kuhn) • Design and Writing of the Methods Section • Data analysis: SPSS Program: Mann Whitney U Test, Kruskal Wallis H Test, Wilcoxon Signed Rank Test, Preparation, After Class Study, Interview, Presentation (Preparation)
8. Week • Book Critique: The Scientific Method (Hugh G. Gauch Jr.) • Article Discussion: The Origin and Nature of the Scientific Method (Russel) • Survey Preparation and Application • Data analysis: SPSS Program: Validity and Reliability Analysis Interview, Presentation (Preparation), Preparation, After Class Study
9. Week • Book Critique: The Scientific Method (Hugh G. Gauch Jr.) • Article Discussion: Two Approaches to Our Understanding of Science (Medawar) • Data Collection • Data analysis: LISREL Program: Data Entries - Level 1 Confirmatory Factor Analysis (with Graphical Interface) Preparation, After Class Study, Interview, Presentation (Preparation)
10. Week • Book Critique: The Scientific Method (Hugh G. Gauch Jr.) • Topic Discussion: Research Unit, Population and Sample • Analysis of Data • Data analysis: LISREL Program: Level 2 Confirmatory Factor Analysis (with Graphical Interface) Presentation (Preparation), Interview, Preparation, After Class Study
11. Week • Book Critique: Research Design (John W. Creswell) • Topic Discussion: Quantitative Research Design/Process • Writing Findings • Data analysis: LISREL Program: Path Analysis (with Graphical Interface) Preparation, After Class Study, Interview, Presentation (Preparation)
12. Week • Book Critique: Research Design (John W. Creswell) • Topic Discussion: Scales Used in Quantitative Studies • Discussion and Writing Results • Data analysis: LISREL Program: Path Analysis (with Graphical Interface) Preparation, After Class Study, Interview, Presentation (Preparation)
13. Week • Book Critique: Research Design (John W. Creswell) • Topic Discussion: Validity and Reliability in Quantitative Studies • Submission of Reports and Submission to the Journal • Data analysis: LISREL Program: Path Analysis (with Graphical Interface) Presentation (Preparation), Interview, Preparation, After Class Study
14. Week General Evaluation - Final Exam
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • • Sekaran, U., (2003), “Research methods for business”, John Wiley & Sons. • Creswell, J. W. (2016), “Araştırma Deseni: Nitel, Nicel ve Karma Yöntem Yaklaşımları”, Eğiten Kitap • Descartes, R. (2018), “Yöntem Üzerine Konuşma”, Say Yayınları. • Bayet, A. (2016), “Bilim Ahlakı”, Maviçatı Yayınları. • Jensen, H. “Weber ve Durkheim-Metodolojik Bir Karşılaştırma”, Dergâh Yayınları. • Mehdiyev, Nebi (2019) “Bir Bilme Teorisi”, Dergâh Yayınları. • Yıldırım, Cemal (2000), Bilim Felsefesi, Remzi Kitabevi. • Büyüköztürk, Ş., (2006), “Sosyal Bilimler İçin Veri Analizi El Kitabı”, Pegem A Yayıncılık. • Büyüköztürk, Ş., ve diğ. (2013), “Bilimsel Araştırma Yöntemleri”, 15. Baskı. Pegem A Yayıncılık. • Hugh G. Gauch Jr. (2016), “Bilimsel Yöntem”, Dipnot Yayınları. • Şimşek, Ö. M. (2007), “Yapısal Eşitlik Modellemesine Giriş: Temel İlkeler ve LİSREL Uygulamaları”, Ekinoks Basım.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
Homework 1 1 30 30
Final 1 50 50
Practice 10 5 50
Practice End-Of-Term 10 5 50
Classroom Activities 14 3 42
Total Workload 222
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 10.0