Linear Mixed-Effect Modeling in Kinesiology Research- A Tutorial in R

Jacob A Mota
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Jacob A Mota: Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX, USA

Biomedical Journal of Scientific & Technical Research, 2023, vol. 49, issue 3, 40613-40623

Abstract: The amount of kinesiology research produced has steadily risen over the previous decades. While much of the existing literature has utilized traditional hypothesis testing, the use of advanced statistical procedures is growing in popularity. Linear mixed-effect modeling is an extension of the traditional linear model and presents many advantages when used with study designs common in kinesiology or other interventionbased research with multiple time points.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:49:y:2023:i:3:p:40613-40623

DOI: 10.26717/BJSTR.2023.49.007794

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