136
Views
0
CrossRef citations to date
0
Altmetric
Reports

Establishing and Applying Measurement Reliability in Perceptual-Motor Coordination Tasks

ORCID Icon, , , , ORCID Icon &
Pages 297-311 | Published online: 26 Aug 2021
 

Abstract

Over a large body of literature focused on perceptual-motor coordination for action-based affordance tasks, little regard has been given for measurement reliability. The purpose of this paper was to outline this issue and provide an example reliability study for a measure of an individual’s ability to perceive action opportunities for leaping. Ten participants completed three testing sessions, each consisting of 24 trials of the task. Reaction times and accuracy of perceptual responses were calculated. Analysis of variance was used to test for systematic mean changes. Intraclass correlation coefficients (ICCs) and coefficients of variation (CV) were used to quantify intersession agreement and within-subject variability. With the removal of six trials for familiarization, acceptable agreement (ICC= 0.930) and within-subject variability (CV= 9.5%) were established, using six further testing trials. Overall, this paper provides the rationale and simple methods for addressing measurement reliability in perceptual-motor coordination research.

Disclosure statement

None

Additional information

Funding

This work was supported by the University of Pittsburgh, School of Health and Rehabilitation Science Research Development Fund.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 303.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.