Enhancing reliability of self-report ergonomic assessment for manufacturing operations: exhaustive variability evaluation with targeted control measures.
Objectives. Self-reports boast extensive industrial implementations attributable to simplicity and higher applicability than other ergonomic assessment methods. Especially, small-scale industries and non-routine work analyses, amidst financial and technical constraints, rely largely on self-reports....
| Published in: | International Journal of Occupational Safety & Ergonomics Vol. 32; no. 2; pp. 440 - 462 |
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| Main Authors: | , , |
| Format: | research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Jun2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194165274&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194165274 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10803548 39QK jtl: International Journal of Occupational Safety & Ergonomics issn: 10803548 maglogo: N pubinfo: dt: Jun2026 vid: 32 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 194165274 188825468 194165274 194165274 10.1080/10803548.2025.2543162 194165274 ppf: 440 ppct: 22 formats: tig: atl: Enhancing reliability of self-report ergonomic assessment for manufacturing operations: exhaustive variability evaluation with targeted control measures. aug: au: Tripathi, Charu Arora, Manish Chakrabarti, Amaresh affil: Department of Design and Manufacturing (DM), Indian Institute of Science (IISc), India sug: subj: Self Report Ergonomics Evaluation Manufacturing Industry Conceptual Framework Task Performance and Analysis Human India Male Female Adult Experimental Studies Descriptive Statistics Spearman's Rank Correlation Coefficient Kruskal-Wallis Test Nonparametric Statistics Wilcoxon Rank Sum Test Univariate Statistics Videorecording Summated Rating Scaling Paired T-Tests Post Hoc Analysis Reproducibility of Results Reliability Adult: 19-44 years Male Female ab: Objectives. Self-reports boast extensive industrial implementations attributable to simplicity and higher applicability than other ergonomic assessment methods. Especially, small-scale industries and non-routine work analyses, amidst financial and technical constraints, rely largely on self-reports. However, self-reports exhibit low reliability. Existing reliability enhancement research is confined within the feedback phase, overlooking potential variabilities inherent in additional elements of the assessment process. This article aims to enhance reliability with an exhaustive variability exploration throughout the self-report assessment framework, developing targeted control measures. Methods. Self-report ergonomic assessment of assembly–disassembly tasks was conducted with 80 participants leveraging a 5-point unipolar Likert scale. Variability sources were identified through statistical hypothesis testing involving Kruskal–Wallis, Wilcoxon signed-rank and paired t tests. Modes of variability occurrence were elucidated through post-hoc analyses including Dunn's test and qualitative analysis. Targeted variability control measures were derived through qualitative causal inferences. Results. Four major reliability influencing factors and their modes of occurrence were identified. Response scales designed incorporating variability control measures corresponding to each of the identified factors showed an increase in Krippendorff's α reliability coefficients (from 0.67 < α < 0.87 to α > 0.98). Conclusion. The proposed approach holistically mitigates variability sources throughout the assessment process, facilitating reliable results without detriment to simplicity of implementation. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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