Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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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
  • Department of Sports Management
  • 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
Required or Recommended Resources
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
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