Preliminary Multilevel Confirmatory Factor Analysis of the Startle and Surprise Inventories using Simulated Flight Scenarios
This study was designed to validate the factor structure of the Startle and Surprise Inventories using multilevel confirmatory factor analysis in an ecologically valid flightdeck setting. The Startle and Surprise Inventories were developed to assess self-report startle and surprise to target stimuli. As their use expands in operational settings, construct validity should be further examined in contexts with ecological validity. 208 observations were collected from 26 professional pilots exposed to eight scenarios with varied levels of startle and surprise in a motion-based simulator. After each scenario, pilots completed the Startle and Surprise Inventories. A two-factor model, comprising the constructs Startle and Surprise, demonstrated superior and acceptable fit over a one-factor model. All items demonstrated significant factor loadings at both within- and between-scenario levels in the two-factor solution. McDonald’s ω ranged from ω = 0.88 to ω = 0.96 for the Startle Inventory, and ω = 0.77 to ω = 0.96 for the Surprise Inventory, indicating acceptable to excellent internal consistency. The findings offer empirical support for the construct validity and reliability of the Startle and Surprise Inventories in a highly ecologically-valid setting. The validated and reliable measures can inform evidence-based safety training protocols and interventions in aviation and other safety-critical domains.
Authors
- Max Mulder (ORCID: https://orcid.org/0000-0002-0932-3979)
- Jiayu Chen (ORCID: https://orcid.org/0009-0006-0084-1661)
- Annemarie Landman (ORCID: https://orcid.org/0000-0003-3678-9210)
- Alexis Derumigny (ORCID: https://orcid.org/0000-0002-6163-8097)
- M. M. van Paassen (ORCID: https://orcid.org/0000-0003-4700-1222)
- Olaf Stroosma (ORCID: https://orcid.org/0000-0002-4578-3171)
Institutions
- Netherlands Organisation for Applied Scientific Research (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- Journal of Cognitive Engineering and Decision Making
- Published
- 2025-11-29
- DOI
- https://doi.org/10.1177/15553434251401784
- Citations
- 1
- Primary Topic
- Aerospace and Aviation Technology
- Type
- article
- Field-Weighted Citation Impact
- 4.99