Factor Analysis of a Novel Scoring-Based Instrument on Forecasting Malaysian Travelers' Behavioral Preparedness for Travel-Related Infectious Diseases.

Autor: Ghazali, Muhammad Haikal, Shah, Shamsul Azhar, Mahmood, Mohd Ihsani
Předmět:
Zdroj: International Journal of Travel Medicine & Global Health; Spring2018, Vol. 6 Issue 2, p54-63, 10p
Abstrakt: Introduction: Preparedness for the prevention of travel-related infectious diseases among Malaysian international travelers has yet to be explored. With no such data, health programs to empower travelers on behavioral responses towards travel-related illnesses will be ineffective. The current study aimed to develop and validate a new scoring-based instrument measuring Malaysian international travelers' preparedness in terms of their risk perception (RP), attitude, and practices (RisPAK-Q) towards travel-related infectious diseases using factor analysis. Methods: The newly developed instrument was tested among 200 Malaysian international travelers based on the systematic random sampling method. The number of domains, model-fit index, construct validity, and internal consistency for this instrument were determined using exploratory and confirmatory factor analysis (CFA). Results: Twenty-two out of 34 questions were retained, and the following 5 domains were extracted: RP, pre-travel attitude (PTA), duringtravel attitude (DTA), general traveling practice, and food practice (FP). All 22 questions had factor loadings of above 0.6. All 5 domains achieved a stable model fit index with good convergent and discriminant construct validity of above 0.5 indicated by the average variance extracted (AVE) with all of the maximum shared variance (MSV) values below their corresponding AVEs. All domains also had high internal consistency with a composite reliability (CR) of above 0.7. Conclusion: The RisPAK-Q containing 22 questions in 5 domains is a valid and reliable instrument for measuring the preparedness of Malaysian travelers for travel-related infectious diseases and can be used in a subsequent larger study. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index