SELECTED ASPECTS OF STATISTICAL ANALYSES IN SPORT WITH THE USE OF STATISTICA SOFTWARE

• Authors: Nijole Jascaniene , Robert Nowak , Dorota Kostrzewa-Nowak , Marek Kolbowicz
• Languages of publication: EN

Abstracts

EN

Statistical analysis is a crucial step in all experimental studies, including sport sciences, because inappropriate analysis can lead to erroneous assumptions of performed experiments. Statistical analyses of the training-related data are required to make the training process more efficient.
The analyses of various parameters are performed in repeated cycles, requiring appropriate statistical tests. STATISTICA software (version 10) offers a Friedman test for non-parametric analyses of more than 2 groups of repeated measures (which often takes place). Unfortunately, there is no post hoc test to verify which groups decide of the statistical significance of the results. The solution to this problem may lie in the normalization of the data with one of the most popular logarithmic transformations. It allows performing multiple comparisons for the 1-way ANOVA with repeated measures, as well as appropriate post hoc test to precisely determine which group of data is responsible for the statistical significance of the differences.

Keywords

EN

data distribution; physical effort; repeated measures; statistical analysis; statistical significance

Discipline

• MEDICINE: MEDICINE

• Publisher: Uniwersytet Szczeciński. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
• Journal: Central European Journal of Sport Sciences and Medicine
• Year: 2013
• Volume: 3
• Issue: 3
• Pages: 3-11

Contributors

author

Nijole Jascaniene

• Vilnius Pedagogical University, Vilnius, Lithuania

author

Robert Nowak

• Jędrzej Śniadecki Academy of Physical Education and Sport in Gdańsk, Poland

author

Dorota Kostrzewa-Nowak

• Jędrzej Śniadecki Academy of Physical Education and Sport in Gdańsk, Poland

author

Marek Kolbowicz

• Faculty of Physical Culture and Health Promotion, Szczecin University, Poland

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• Document Type: article