Validating delay constructs: An application of confirmatory factor analysis

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 (Newark Liberty International (EWR), John F Kennedy International (JFK), LaGuardia (LGA), Miami International (MIA), Chicago O'Hare International (ORD), and San Francisco International (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.

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01519751
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 11 2014 10:18AM