| Learning Outcomes |
PO |
MME |
| The students who succeeded in this course: |
|
|
| LO-1 |
Understanding the philosophy and principles of scientific research techniques and statistics |
PO-1 Understands scientific research methods and processes and can apply these methods in the field of sports sciences.
|
Examination
|
| LO-2 |
Learning scientific research techniques and methods commonly used in sport sciences |
PO-1 Understands scientific research methods and processes and can apply these methods in the field of sports sciences.
|
Examination
|
| LO-3 |
To be able to apply various data collection and analysis methods |
PO-1 Understands scientific research methods and processes and can apply these methods in the field of sports sciences.
|
Examination
|
| LO-4 |
Understanding research ethics and conducting research in accordance with ethical rules |
PO-1 Understands scientific research methods and processes and can apply these methods in the field of sports sciences.
|
Examination
|
| LO-5 |
To be able to perform statistical analysis in computer environment |
PO-1 Understands scientific research methods and processes and can apply these methods in the field of sports sciences.
|
Examination
|
| LO-6 |
To be able to prepare a research proposal and report |
PO-1 Understands scientific research methods and processes and can apply these methods in the field of sports sciences.
|
Examination
|
PO: Programme Outcomes
MME:Method of measurement & Evaluation |
| Course Contents |
| This course covers the fundamental stages of the scientific research process, concepts of research population and sample, data collection methods (survey, observation, interview, etc.), data analysis through parametric and non-parametric tests, cause-and-effect relationships, factor and cluster analysis, reliability analysis, and the use of computer-assisted statistical programs such as SPSS and R to enhance and accelerate these processes. |
| Weekly Course Content |
| Week |
Subject |
Learning Activities and Teaching Methods |
| 1 |
Introduction to scientific research: Problem definition and hypothesis formation |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 2 |
Research methods: Population, sample, and data collection techniques |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 3 |
Statistical concepts: Basic definitions and types of data |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 4 |
Data organization and descriptive statistics (mean, standard deviation, etc.) |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 5 |
Parametric tests: t-test and analysis of variance (ANOVA) |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 6 |
Non-parametric tests: Chi-square test and Mann-Whitney U test |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 7 |
Introduction to SPSS and basic data analysis |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 8 |
mid-term exam |
|
| 9 |
Regression and correlation analysis: Examining cause-effect relationships |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 10 |
Factor and cluster analysis: Structuring data |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 11 |
Reliability analysis: Consistency of measurement tools |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 12 |
Practical analysis with sample datasets in sports sciences |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 13 |
Introduction to R software and basic statistical analyses |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 14 |
Interpretation and reporting of research results |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 15 |
General review and case studies |
Lecture and Discussion,
Computer Applications,
Group Work,
Practical Data Analyses,
Case Studies and Project Development |
| 16 |
final exam |
|
| Recommend Course Book / Supplementary Book/Reading |
| 1 |
Erdoğan, S. (2019). Spor Bilimlerinde İstatistiksel Yöntemler ve Uygulamaları. Pegem Akademi Yayıncılık. |
| 2 |
Gürbüz, H., & Şahin, M. (2018). Spor İstatistiği ve Uygulamaları. Nobel Yayın Dağıtım. |
| 3 |
Eroğlu, S. (2020). Spor ve Egzersiz Bilimlerinde İstatistiksel Yöntemler. Vize Yayıncılık. |
| Required Course instruments and materials |
| SPSS, R, Textbook, PC |
