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Are all predicted relationships linear by nature? A note about quantile regression in sport and exercise psychology
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI), Sport Health and Physical activity. Faculty of Health and Life Sciences, Linnaeus University, Sweden.
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI), Sport Health and Physical activity.
2014 (English)In: Athletic Insight: The Online Journal of Sport Psychology, ISSN 1536-0431, E-ISSN 1947-6299, Vol. 6, no 2, p. 115-123Article in journal (Refereed) Published
Abstract [en]

Data in sport and exercise psychology research are often analyzed based on the assumption that the relationships between two or more variables are linear in nature. But are all relationships in sport and exercise settings linear? The aim of this paper is to: a) discuss the potential shortcomings with using linear regression analysis, b) introduce quantile regression analysis (Q-regression) as an alternative to linear regression, and c) give examples of how to use Q-regression analysis in order to overcome some of the shortcomings of linear regression analysis. A comparison between the results from a linear regression analysis and a Q-regression analysis shows differences between the two methods. More specifically, the independent variables in the results of the Q-regression analysis were shown to have non-linear relationships with the dependent variable in given examples. Researchers are encouraged to consider using Q-regression analysis in studies where non-linear relationships could be expected.

Place, publisher, year, edition, pages
New York: Nova Science Publishers, Inc., 2014. Vol. 6, no 2, p. 115-123
Keyword [en]
interpretation of data, linear regression, quantile regression, statistics
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:hh:diva-24139OAI: oai:DiVA.org:hh-24139DiVA: diva2:677455
Available from: 2013-12-09 Created: 2013-12-09 Last updated: 2017-12-06Bibliographically approved

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