Course: Methodology and Statistics

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Course title Methodology and Statistics
Course code KSK/METS
Organizational form of instruction Lecture + Seminar
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Sigmundová Dagmar, doc. Mgr. Ph.D.
  • Cuberek Roman, Mgr. Ph.D.
Course content
Topics: 1. Development of a research project in kinanthropology 2. Specifics of qualitative and quantitative research 3. Selected research methods and techniques; specifics of field-based and laboratory research 4. Research validity and reliability; limiting factors of kinanthropology research 5. Statistical methods as a tool of scientific conclusiveness of results and correlations 6. Population; population and sample; random selection 7. Application of descriptive statistics; interpretation of basic characteristics 8. Analysis of variable dependences 9. Introduction to statistical reasoning; testing of statistical hypotheses 10. Statistical and material significance (of difference, dependence); "effect size" coefficient 11. Using software for statistical data processing and result visualization 12. Analysis of current research projects in the Institute of Active Lifestyle (FTK UP, Olomouc)

Learning activities and teaching methods
Lecture, Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook), Demonstration
  • Homework for Teaching - 20 hours per semester
  • Attendace - 26 hours per semester
  • Preparation for the Exam - 15 hours per semester
  • Preparation for the Course Credit - 10 hours per semester
  • Semestral Work - 62 hours per semester
Learning outcomes
The student will adopt scientific approaches to addressing research issues in kinanthropology. Addressing these issues should be based on the knowledge of motometry and methodology. The student will use the acquired knowledge and literacy in the area of statistical data processing in producing a project (outline) of an own thesis. The student will produce a final research report according to text, quotation and illustration norms and conventions. Information about this course was translated to English within the project Internationalization of the Faculty of Physical Culture, Palacký University, Olomouc, No. CZ.1.07/2.2.00/28.0028, co-funded by the European Social Fund and the Government of the Czech Republic.
The student is able to start a study project of a research nature and to conduct the project under professional supervision in order to produce a scientific paper (thesis). Through application of acquired knowledge, the student performs own data collection, processing and statistical evaluation. The student is qualified to work with new experimental findings and to interpret such findings in the context of published scientific papers. The student is capable of presenting own findings in a written and verbal form.
Prerequisites
1. Basic knowledge of PC and internet search tools 2. Basic knowledge of MS Excel and MS Word programmes (or an adequate spreadsheet and text editor) 3. An own notebook is recommended, before lectures students can connect to Mobile network access (for instructions see "Portál -> Administrativa -> Návody a nápovědy -> Mobilní přístup na síť (síť eduroam), WiFi, LAN")

Assessment methods and criteria
Analysis of Activities ( Technical works), Seminar Work

Minimum participation in seminars is 75%. Participation in the first two lectures is MANDATORY. In these lectures, documents for further work will be distributed! Throughout the semester, the student is actively involved in a model research project on which the theoretical knowledge will be demonstrated. Data collection required for the project is also a credit requirement. Based on the data, the student will prepare materials for the test. Student assignments: 1) Selection of thesis topic; its registration in the STAG system. 2) Data collection in the INDARES system according to instructions given in the initial lecture. 3) Processing an individually generated project-based data matrix. 4) Interpretation of a partial statistical result based on an assigned data matrix 5) Producing an own ?research report? within a common educational project but based on an individual data matrix and partial statistical result (report to include: Research problem, Objectives and hypotheses, Tasks, Methods, Results and Conclusion) | The report must not exceed 4 standard pages. 6) Fulfillment of of individual tasks in the EDIS (edis.upol.cz) Individual assignments will be specified in detail in the initial lecture.
Recommended literature
  • Andrews, D. L., Mason, D. S., & Silk, M. L. (2005). Qualitative methods in sports studies. New York: Berg.
  • Frömel, K. (2002). Kompendium psaní a publikování v kinantropologii. Olomouc: Univerzita Palackého.
  • Gibilisco, S., & Žižková, Z. (2009). Statistika bez předchozích znalostí: [průvodce pro samouky]. Brno: Computer Press.
  • Hendl, J. (2009). Přehled statistických metod: analýza a metaanalýza dat. Praha: Portál.
  • Chráska, M. (2007). Metody pedagogického výzkumu: základy kvantitativního výzkumu. Praha: Grada.
  • Olejár, M., Baláž, J., & Ryba, J. (1998). Metodológia telesnej výchovy a športu. Hradec Králové: Gaudeamus.
  • Pelikán, J. (2011). Základy empirického výzkumu pedagogických jevů. Praha: Karolinum.
  • Piantanida, M., & Garman, N. B. (2009). The qualitative dissertation. Thousand Oaks, Calif: Corwin.


Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Physical Culture Physical Education (2011) Physical education and sport 1 -
Faculty of Physical Culture Adapted Physical Activity (2016) Physical education and sport 1 -
Faculty of Physical Culture Adapted Physical Education (2016) Physical education and sport 1 -
Faculty of Physical Culture Physical Education and Sports (2016) Physical education and sport 1 -
Faculty of Physical Culture Recreology (2011) Physical education and sport 1 -
Faculty of Physical Culture Recreology (2016) Physical education and sport 1 Summer
Faculty of Physical Culture Adapted Physical Activity (2011) Physical education and sport 1 -
Faculty of Physical Culture Physical Education (2016) Physical education and sport 1 -
Faculty of Physical Culture Adapted Physical Education (2011) Physical education and sport 1 -
Faculty of Physical Culture Physical Education and Sports (2011) Physical education and sport 1 -