Akademik Dersler - Tanıtım

Course Introduction Information


Code - Course Title	BES589 - Research and Statistics in Sport Psychology
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	1+2
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ UMUT SEZER
Mode of Delivery	The mode of delivery of this course is Face – to – face
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course
Required or Recommended Resources	• Raab, M., Wylleman, P., Seiler, R., Elbe, A. M., & Hatzigeorgiadis, A. (Eds.). (2016). Sport and exercise psychology research: From theory to practice. Academic Press.• Horn, T. S., & Smith, A. L. (2018). Advances in sport and exercise psychology. Human Kinetics.• Filho, & I. Basevitch (Eds.), Sport, exercise and performance psychology: Research directions to advance the field. Oxford University Press.• Llaudet, E., & Imai, K. (2022). Data analysis for social science: A friendly and practical introduction. Princeton University Press.• Whittaker, T. A., & Schumacker, R. E. (2004). A beginner's guide to structural equation modeling. psychology press.• Aşçı, F. H. (Ed). (2022). Spor ve egzersizde psikolojik ölçme ve değerlendirme. Nobel Akademik Yayıncılık.
Recommended Reading List	• Raab, M., Wylleman, P., Seiler, R., Elbe, A. M., & Hatzigeorgiadis, A. (Eds.). (2016). Sport and exercise psychology research: From theory to practice. Academic Press.• Horn, T. S., & Smith, A. L. (2018). Advances in sport and exercise psychology. Human Kinetics.• Filho, & I. Basevitch (Eds.), Sport, exercise and performance psychology: Research directions to advance the field. Oxford University Press.• Llaudet, E., & Imai, K. (2022). Data analysis for social science: A friendly and practical introduction. Princeton University Press.• Whittaker, T. A., & Schumacker, R. E. (2004). A beginner's guide to structural equation modeling. Psychology Press.• Aşçı, F. H. (Ed). (2022). Spor ve egzersizde psikolojik ölçme ve değerlendirme. Nobel Akademik Yayıncılık.
Assessment methods and criteria	1 mid term-exam (% 40) 1 final exam (% 60)
Work Placement	N/A
Sustainability Development Goals

Content

Weeks	Topics
Week - 1	Basic concepts
Week - 2	Areas of application
Week - 3	Introduction to Jamovi
Week - 4	Introduction to R studio
Week - 5	Lavaan package
Week - 6	semToools package
Week - 7	Confirmatory factor analysis: Goodness of fit, modifications, estimators and optimization methods
Week - 8	Measurement models
Week - 9	Unidimensional factor model - Correlated factors model
Week - 10	Bi-factor models and Hierarchical factor model
Week - 11	Structural equation modeling
Week - 12	Application
Week - 13	Application
Week - 14	Feedback on exercises

Learning Activities and Teaching Methods

Teaching Methods
Lecture
Discussion
Question & Answer
Team/Group Work
Drill - Practise
Brain Storming
Report Preparation and/or Presentation
Competences
Productive
Rational
Questoning
Entrepreneur
Creative
Follow ethical and moral rules
Effective use of a foreign language
Eleştirel düşünebilme
Abstract analysis and synthesis
Problem solving
Information Management
To work autonomously
Elementary computing skills
Decision making
To work in interdisciplinary projects

Assessment Methods

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0