Good reasons for high variability (low inter-rater reliability) in performance assessment: Toward a fuzzy logic model

Abstract

Regular performance assessment is an integral part of (high-) risk industries. Past research shows, however, that in many fields, inter-rater reliabilities tend to be moderate to low. This study was designed to investigate the variability of performance assessment in a naturalistic setting in aviation. A modified think-aloud protocol was used as research design to investigate the reasoning pairs of pilots use to assess the performance of an airline captain in a high-risk situation. Standard protocol analysis and interaction analysis methods were employed in the analysis of transcribed verbal protocols. The analyses confirm high variability in performance assessment and reveal the good, albeit fuzzy, justifications that assessor pairs use to ground their assessments. A fuzzy logic model exhibits a good approximation between predicted and actual ratings. Implications for the practice of performance assessment are provided. Relevance to industryMany industries aim at achieving consistency in identifying true performance levels. However, if the variability in performance assessment is a real phenomenon, as reported here, then practitioners and researchers might have to test whether it can be used positively, e.g., as opportunity for improving the resilience of crews.