TY  - JOUR
PY  - 2023//
TI  - Testing the reliability of accident analysis methods: a comparison of AcciMap, STAMP-CAST and AcciNet
JO  - Ergonomics
A1  - Hulme, Adam
A1  - Stanton, Neville A.
A1  - Walker, Guy H.
A1  - Waterson, Patrick
A1  - Salmon, Paul M.
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - Accident analysis methods are used to model the multifactorial cause of adverse incidents. <br><br>METHODS such as AcciMap, STAMP-CAST and recently AcciNet, are systemic approaches that support the identification of safety interventions across sociotechnical system levels. Despite their growing popularity, little is known about how reliable systems-based methods are when used to describe, model and classify contributory factors and relationships. Here, we conducted an intra-rater and inter-rater reliability assessment of AcciMap, STAMP-CAST and AcciNet using the Signal Detection Theory (SDT) paradigm. A total of 180 hours' worth of analyses across 360 comparisons were performed by 30 expert analysts. <br><br>FINDINGS revealed that all three methods produced a weak to moderate positive correlation coefficient, however the inter-rater reliability of STAMP-CAST was significantly higher compared to AcciMap and AcciNet. No statistically significant or practically meaningful differences were found between methods in the overall intra-rater reliability analyses. Implications and future research directions are discussed.<p />  <p>Language: en</p>
LA  - en
SN  - 0014-0139
UR  - http://dx.doi.org/10.1080/00140139.2023.2240048
ID  - ref1
ER  -