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Validating delay constructs: An application of confirmatory factor analysis

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  • Diana, Tony

Abstract

This paper proposes to use confirmatory factor analysis (CFA) to evaluate the relationship between six observed variables (arrival and departure counts, arrival and departure demand, taxi-out and airborne delays) and their underlying latent (unobserved) constructs (operations, demand, and delays) at six of the most delayed airports (EWR, JFK, LGA, MIA, ORD, and SFO) during the calendar years of 2006–2008. The CFA revealed a good fit between the six observed variables and the three factors that may explain on-time performance except in the case of JFK. The use of CFA can help analysts validate constructs when theory supports a priori predictions and relationships between observed and unobserved variables.

Suggested Citation

  • Diana, Tony, 2014. "Validating delay constructs: An application of confirmatory factor analysis," Journal of Air Transport Management, Elsevier, vol. 35(C), pages 87-91.
    • Handle: RePEc:eee:jaitra:v:35:y:2014:i:c:p:87-91
    DOI: 10.1016/j.jairtraman.2013.11.014
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    References listed on IDEAS

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    1. Park, Jin-Woo, 2007. "Passenger perceptions of service quality: Korean and Australian case studies," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 238-242.
    2. Stephen L. Liedtka, 2002. "The Information Content of Nonfinancial Performance Measures in the Airline Industry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 29(7&8), pages 1105-1121.
    3. Stephen L. Liedtka, 2002. "The Information Content of Nonfinancial Performance Measures in the Airline Industry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 29(7‐8), pages 1105-1121.
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    1. Diana, Tony, 2018. "An evaluation of the impact of wake vortex re-categorization: The case of Charlotte Douglas International airport (CLT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 41-49.
    2. Arnaldo Scarpel, Rodrigo & Pelicioni, Luciele Cristina, 2018. "A data analytics approach for anticipating congested days at the São Paulo International Airport," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 1-10.

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