Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Türkçe
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
  • Institute of Graduate Programmes
  • Department of Sports Management
  • Sports Management
  • Course Structure Diagram with Credits
  • Quantitative Research Methods
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title ARY615 - Quantitative Research Methods
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 None
Required or Recommended Resources Büyüköztürk, Ş. Sosyal Bilimler İçin Veri Analizi El Kitabı [Data Analysis Handbook for Social Sciences]. Pegem Academy.Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage.Tabachnick, B. G. & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson.Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling (4th ed.). Guilford Press.
Recommended Reading List Current international articles using quantitative methods in sport management (e.g., Journal of Sport Management, Sport Management Review, European Sport Management Quarterly).
Assessment methods and criteria Midterm/Assignment: 40%, Final/Project: 60%
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Basic Concepts: Types of Variables and Levels of Measurement
Week - 2 Population-Sample and Parameter-Statistic
Week - 3 Quantitative Research Design: Selection of Models and Designs, Internal and External Validity
Week - 4 Reliability: Types and Calculation of Reliability
Week - 5 Validity: Types of Validity and Validity Evidence
Week - 6 Measures of Central Tendency and Variability
Week - 7 Standard Scores (z and T Scores) and Normality
Week - 8 Hypothesis Testing and t-Tests
Week - 9 Analysis of Variance: ANOVA and MANOVA
Week - 10 Analysis of Covariance: ANCOVA and MANCOVA
Week - 11 Correlation, Simple and Multiple Regression
Week - 12 Exploratory Factor Analysis
Week - 13 Confirmatory Factor Analysis
Week - 14 Non-Parametric Tests and New Trends in Quantitative Research

Learning Activities and Teaching Methods

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
  • PhD / Proficiency in Art
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • 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