Literature DB >> 10098805

Evaluation of interrater reliability for posture observations in a field study.

S Burt1, L Punnett.   

Abstract

This paper examines the interrater reliability of a quantitative observational method of assessing non-neutral postures required by work tasks. Two observers independently evaluated 70 jobs in an automotive manufacturing facility, using a procedure that included observations of 18 postures of the upper extremities and back. Interrater reliability was evaluated using percent agreement, kappa, intraclass correlation coefficients and generalized linear mixed modeling. Interrater agreement ranged from 26% for right shoulder elevation to 99 for left wrist flexion, but agreement was at best moderate when using kappa. Percent agreement is an inadequate measure, because it does not account for chance, and can lead to inflated measures of reliability. The use of more appropriate statistical methods may lead to greater insight into sources of variability in reliability and validity studies and may help to develop more effective ergonomic exposure assessment methods. Interrater reliability was acceptable for some of the postural observations in this study.

Mesh:

Year:  1999        PMID: 10098805     DOI: 10.1016/s0003-6870(98)00007-6

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  3 in total

1.  Testing two methods to create comparable scale scores between the Job Content Questionnaire (JCQ) and JCQ-like questionnaires in the European JACE Study.

Authors:  Robert Karasek; BongKyoo Choi; Per-Olof Ostergren; Marco Ferrario; Patrick De Smet
Journal:  Int J Behav Med       Date:  2007

2.  Development of Human Posture Simulation Method for Assessing Posture Angles and Spinal Loads.

Authors:  Ming-Lun Lu; Thomas Waters; Dwight Werren
Journal:  Hum Factors Ergon Manuf       Date:  2015-01       Impact factor: 1.722

3.  Automated video exposure assessment of repetitive hand activity level for a load transfer task.

Authors:  Chia-Hsiung Chen; Yu Hen Hu; Thomas Y Yen; Robert G Radwin
Journal:  Hum Factors       Date:  2013-04       Impact factor: 2.888

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.