Reliability and validity of a mobile tablet for assessing left/right judgements

Autor: Michelle N. McDonnell, G. Lorimer Moseley, Daniela K. Peto, Felicity A Braithwaite, Susan Hillier, Lindy J. Williams, Hayley B. Leake
Přispěvatelé: Williams, Lindy J, Braithwaite, Felicity A, Leake, Hayley B, McDonnell, Michelle N, Peto, Daniela K, Moseley, G Lorimer, Hillier, Susan L
Rok vydání: 2019
Předmět:
Zdroj: Musculoskeletal Science and Practice. 40:45-52
ISSN: 2468-7812
DOI: 10.1016/j.msksp.2019.01.010
Popis: Background Left/right judgement (LRJ) of body parts is commonly used to assess the ability to perform implicit motor imagery and the integrity of brain-grounded maps of the body. Clinically, LRJ are often undertaken using a mobile tablet, but the concurrent validity and reliability of this approach has not yet been established. Objectives To evaluate the concurrent validity and test-retest reliability of a mobile tablet for assessing LRJ. Method Participants completed LRJ for 50 hand images (Experiment 1), and 40 back, foot, or neck images (Experiment 2) using a mobile tablet and desktop computer in random order. Participants in Experiment 2 performed a repeat test the following day to assess test-retest reliability. Accuracy and response time (RT) were recorded. Results Twenty participants aged 55.3 (±6.7) years in Experiment 1, and 37 participants aged 38.2 (±12.3) years in Experiment 2, were recruited. Concurrent validity of the mobile tablet was good to excellent for hand judgements (ICC 3,1 = 0.836 for RT; ICC = 0.909 for accuracy), and was good for back, foot, and neck judgements (ICC = 0.781 for accuracy; ICC = 0.880 for RT). Test-retest reliability of the mobile tablet was good to excellent (ICC = 0.824 for accuracy; ICC = 0.903 for RT). Conclusions The mobile tablet demonstrated good to excellent concurrent validity with the desktop computer in two separate samples. The mobile tablet also demonstrated good to excellent test-retest reliability. The mobile tablet for LRJ is a valid alternative to the original desktop version.
Databáze: OpenAIRE