e059 Methodology and Statistics in Sports Sciences

Faculty of Sports Studies
autumn 2024

The course is not taught in autumn 2024

Extent and Intensity
1/1/0. 3 credit(s). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
Mgr. Michal Bozděch, Ph.D. (lecturer)
Guaranteed by
Mgr. Michal Bozděch, Ph.D.
Department of Physical Education and Social Sciences – Faculty of Sports Studies
Contact Person: Mgr. František Hurt
Supplier department: Department of Physical Education and Social Sciences – Faculty of Sports Studies
Timetable
except Tue 17. 9.
Prerequisites
Prerequisite skills for the course 'Methodology and Statistics in Sports Sciences' include a foundational understanding of sports, research, and methodology. Additionally, students should possess the ability to read and comprehend academic texts in English, and be capable of actively participating in seminar classes. This involves applying theoretical knowledge to specific examples and demonstrating the skill to critically evaluate information.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25
fields of study / plans the course is directly associated with
Course objectives
The objectives of the course "Methodology and Statistics in Sports Sciences" encompass several key areas. Students are expected to acquire a foundational understanding of the principles governing methodology and statistics in sports sciences, appreciating their significance in the context of sports research. The course aims to develop students' ability to apply methodological procedures in designing and conducting sports scientific research, along with a comprehension of concepts related to statistical analysis of data. Additionally, students should gain detailed knowledge of key topics, such as research design, data collection, analysis, interpretation of results, and presentation of findings. The course also intends to familiarize students with current developments and trends in the methodology and statistics of sports sciences.
Learning outcomes
The outcomes of the course "Methodology and Statistics in Sports Sciences" encompass a range of key competencies. Students are expected to acquire a foundational understanding of the principles of methodology and statistics in sports sciences. They will demonstrate the ability to apply methodological procedures in designing and conducting sports scientific research, along with the proficiency in conducting statistical analysis specific to the field. Emphasis is placed on the critical evaluation of research methodologies and the interpretation of results within the context of sports. Additionally, students will develop skills in effectively presenting research findings in accordance with academic standards. Practical application is emphasized through the acquisition of skills in research design, data collection, and analysis within specific sports research projects. The course aims to familiarize students with current trends and developments in the methodology and statistics of sports sciences. Integration with the curriculum and preparation for further specialization in sports science or related disciplines are emphasized. Ultimately, students will be prepared for practical application, reflective thinking, and independent problem-solving in the context of sports research.
Syllabus
  • This course outline encompasses two fundamental modules dedicated to Research Methodology and Statistical Analysis in the field of Sports Sciences.
  • Research Methodology consists of topic themes based on A Review of the Fundamentals, Types of Research, Research Project, Research Ethics, The Literature Review, and The Research Hypotheses. Additionally, the module covers Statistical Power, Data Collection Methods, and Sampling.
  • The second part focuses on Characteristics of a Good Test, Variable Types and Scaling, Misuse of Statistics, Descriptive Statistics, Inferential or Analytical Statistics, Multiple Comparisons Problem, The Effect Size, and Probability.
Literature
  • Jan Hendl. Přehled statistických metod zpracování dat. &. info
  • ZHÁNĚL, Jiří. Statistické metody v kinantropologii a antropomotorice (Statistical Methods in Kinantropology and Anthropomotorics). In Statistika v aplikacích. 1st ed. Praha: Portál s. r. o., 2014, p. 345-360. 2546. ISBN 978-80-262-0700-9. info
  • Hendl J. Přehled statistických metod zpracování dat. Portál Praha, 2004. ISBN 80-7178-820-1. info
Teaching methods
The following teaching methods will be employed throughout the semester:
- Individual project presentations, fostering collaboration and presentation skills;
- Practical exercises and simulations, enabling students to apply theoretical knowledge in practice;
- Discussions and debates, promoting critical thinking and argumentation;
- Peer assessment, involving mutual evaluation among students, providing feedback on each other's work and presentations.
Assessment methods
Attendance at lectures is optional but strongly recommended;
- Attendance at seminars is mandatory, with two unexcused absences allowed. Any subsequent absence must be properly excused through the Information System (IS);
- In the case of an individual study plan, students need to contact the course coordinator before or at the beginning of the semester to discuss options and procedures;
- Students will present and critically evaluate a selected publication during the seminar;
- The final credit will be conducted online through a test covering the course material (multiple-choice format, with only one correct answer each time).
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught each semester.
Information on course enrolment limitations: Předmět bude otevřen při zapsání 8 a více studentů.
Teacher's information
https://www.fsps.muni.cz/en/about-us/contacts/employees/360366-michal-bozdech
The course is also listed under the following terms spring 2021, spring 2022, spring 2025.
  • Enrolment Statistics (autumn 2024, recent)
  • Permalink: https://is.muni.cz/course/fsps/autumn2024/e059