Resources for analyzing the data

Together, the FIES items compose a scale designed to cover a range of severity of food insecurity and should be analyzed together as a scale; results should not be reported in terms of percent of positive responses to individual questions.  This is because the items are meant to collectively scan a broad range of severity of food insecurity. Taken together, every item contributes information to measuring food insecurity along the severity continuum, increases precision, and reduces the overall impact of measurement error.  

FIES data are analysed by applying the Rasch model, which is widely used in health, education and psychology studies and provides the statistical basis for experience-based food security measurement.  While other experience-based food security scales have used the raw score (sum of affirmative responses) to classify respondents by the severity of their food insecurity, the resulting prevalence rates are not directly comparable. The methods developed by FAO for the analysis of FIES data, however, are designed to produce measures of food insecurity that are comparable across countries.

The materials included here have been developed by FAO to facilitate the use of the FIES.

RM.weights: Programa informático para analizar datos de la FIES

R es el sotware estadístico oficial del proyecto de la FAO “Voices of the Hungry” y, como tal, se utiliza para aplicar métodos de estimación de la prevalencia de la inseguridad alimentaria. Esta carpeta comprimida contiene el software R y documentos explicativos para realizar la validación estadística de los datos y calcular la prevalencia de la inseguridad alimentaria.

Plantilla de la FIES en Excel

Esta plantilla consiste en dos hojas de trabajo que guiarán a los usuarios de la FIES por el proceso de igualación y facilitarán el cálculo de las estimaciones comparables de la prevalencia de la inseguridad alimentaria. Las instrucciones más detalladas se describen en la lección 4 del curso de aprendizaje en línea sobre FIES.