Validation of the food access survey tool to assess household food insecurity in rural Bangladesh

BMC Public Health
Muzi NaKeith P West

Abstract

Perception-based Likert scale are commonly used to assess household food insecurity. The aim of this study was to evaluate the psychometric properties and external construct validity of the 9-item Food Access Survey Tool (FAST) in a population-based randomized controlled trial. Participating women (n = 11,992) were asked to recall the frequencies of nine food insecurity experiences over the past 6 months on a 5-point Likert scale. The Rasch partial credit model was used to study the item category severity and differential item functioning (DIF) by literacy status, respondents' age, land ownership and household sizes. Principal component analysis (PCA), non-parametric methods, and cumulative ordinal logistic regression models were applied to examine the Rasch model assumptions, namely unidimensionality, monotonicity and measurement invariance (non-DIF). All items demonstrated good model fit with acceptable values of fit statistics (infit). PCA as well as other indices (Cronbach's alpha = 0.85, scalability coefficient = 0.48) indicated that all items fit in a single statistical dimension. The ordered responses of nine items displayed monotonic increasing item category severity as expected theoretically. All nine items were flagge...Continue Reading

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Citations

Nov 3, 2016·The American Journal of Clinical Nutrition·Rebecca K CampbellParul Christian
Aug 14, 2019·Annals of the New York Academy of Sciences·Andrew L Thorne-LymanKeith P West
Apr 17, 2020·Current Developments in Nutrition·Mansura KhanamTahmeed Ahmed
Dec 15, 2018·Salud pública de México·Nathaly Garzón-OrjuelaJavier Eslava-Schmalbach
Jan 27, 2020·American Journal of Preventive Medicine·Anjali V Ganpule-RaoElaine C Rush

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Methods Mentioned

BETA
PCA

Software Mentioned

FAST
TAM ( Test Analysis Modules )
Mokken package
R
Food Access Survey Tool ( FAST )
R Foundation for Statistical Computing

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