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rmcorrShiny: A web and standalone application for repeated measures correlation [version 1; peer review: 2 approved]

Authors :
Laura R. Marusich
Jonathan Z. Bakdash
Author Affiliations :
<relatesTo>1</relatesTo>U.S. Army Combat Capabilities Development Command Army Research Laboratory South at the University of Texas at Arlington, Arlington, TX, 76019, USA<br /><relatesTo>2</relatesTo>U.S. Army Combat Capabilities Development Command Army Research Laboratory South at the University of Texas at Dallas, Richardson, TX, 75080, USA<br /><relatesTo>3</relatesTo>Department of Psychology and Special Education, Texas A&M University-Commerce, Commerce, TX, 75428, USA
Source :
F1000Research. 10:697
Publication Year :
2021
Publisher :
London, UK: F1000 Research Limited, 2021.

Abstract

We describe a web and standalone Shiny app for calculating the common, linear within-individual association for repeated assessments of paired measures with multiple individuals: repeated measures correlation (rmcorr). This tool makes rmcorr more widely accessible, providing a graphical interface for performing and visualizing the output of analysis with rmcorr. In contrast to rmcorr, most widely used correlation techniques assume paired data are independent. Incorrectly analyzing repeated measures data as independent will likely produce misleading results. Using aggregation or separate models to address the issue of independence may obscure meaningful patterns and will also tend to reduce statistical power. rmcorrShiny (repeated measures correlation Shiny) provides a simple and accessible solution for computing the repeated measures correlation. It is available at: https://lmarusich.shinyapps.io/shiny_rmcorr/.

Details

ISSN :
20461402
Volume :
10
Database :
F1000Research
Journal :
F1000Research
Notes :
[version 1; peer review: 2 approved]
Publication Type :
Academic Journal
Accession number :
edsfor.10.12688.f1000research.55027.1
Document Type :
software-tool
Full Text :
https://doi.org/10.12688/f1000research.55027.1