Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Turkish
    • Turkish Turkish
    • English English
About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Sports Management-Master with Thesis
  • Course Structure Diagram with Credits
  • Data Analysis and Practices in Sport Management Research
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title SYR531 - Data Analysis and Practices in Sport Management Research
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOÇENT DOKTOR ARİF YÜCE
Mode of Delivery Face to face
Prerequisites None
Courses Recomended SYR518-Spor Yönetimi ve Rekreasyon Araştırmalarında Yöntem ve Uygulamalar
Recommended Reading List
Assessment methods and criteria HW, Project
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Fundamentals of Statistical Analysis: Research, Data Analysis, Types of Data
Week - 2 Fundamentals of Statistical Analysis: Research, Data Analysis, Types of Data
Week - 3 Selection of Appropriate Statistics for Data Analysis
Week - 4 Describing Data: Frequency Distribution, Measures of Central Tendency and Variability
Week - 5 Describing Data: Frequency Distribution, Measures of Central Tendency and Variability
Week - 6 Simple and Partial Correlation
Week - 7 Validity and Reliability Analyses
Week - 8 Related and Unrelated Measurements and Comparisons
Week - 9 Simple and Multiple Regression
Week - 10 Multivariate Statistics
Week - 11 Analysis of Covariance
Week - 12 Non-Parametric Statistics
Week - 13 Qualitative Data Analyses: Thematic Analysis, Content Analysis, Discourse Analysis
Week - 14 Uses of Quantitative and Qualitative Data Analysis Software and International Case Studies

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Creative
  • Follow ethical and moral rules
  • Effective use of Turkish
  • Work in teams
  • Use time effectively
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • To work autonomously
  • Organization and planning
  • Decision making
  • Project Design and Management
  • To work in international projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students ı
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes r
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations