Recent reviews on the use of experience-based food insecurity scales in the Indian context suggested the addition of "how often" related items to food insecurity modules to avoid overestimation of food insecurity, especially in underprivileged communities. Following this recommendation, we adapted the 8-item Food Insecurity Experience Scale (FIES), an official tool for measuring access to food within the Sustainable Development Goals (target 2.1), and assessed its validity and reliability in socially-backward communities in the Indian context. The polytomous Rasch model was successfully applied and soundly integrated within the probabilistic methodology already in use for the FIES, allowing the computation of comparable prevalence of food insecurity at different levels of severity and related measures of uncertainty. Data from the SWABHIMAAN programme survey, which collected information on food insecurity from mothers of children under two years of age in three Indian states (Bihar, Odisha, and Chhattisgarh), was used for analysis. Results suggest that the proposed adapted version of the FIES can be considered as a proper tool for measuring food insecurity in underprivileged communities, since it satisfies requirements of internal and external validity and reliability. Individual determinants and protective factors of food insecurity were also investigated within this methodological framework and results suggest that education, economic wealth, and homestead kitchen garden can act as a buffer against food insecurity, while the number of pregnancies seems to exacerbate a situation of food insecurity.
Measurement of well-being has been a highly debated topic since the end of the last century. While some specific aspects are still open issues, a multidimensional approach as well as the construction of shared and well-rooted systems of indicators are now accepted as the main route to measure this complex phenomenon. A meaningful effort, in this direction, is that of the Italian "Equitable and Sustainable Well-being" (BES) system of indicators, developed by the Italian National Institute of Statistics (ISTAT) and the National Council for Economics and Labour (CNEL). The BES framework comprises a number of atomic indicators measured yearly at regional level and reflecting the different domains of well-being (e.g. Health, Education, Work & Life Balance, Environment,...). In this work we aim at dealing with the multidimensionality of the BES system of indicators and try to answer three main research questions: I) What is the structure of the relationships among the BES atomic indicators; II) What is the structure of the relationships among the BES domains; III) To what extent the structure of the relationships reflects the current BES theoretical framework. We address these questions by implementing Bayesian Networks (BNs), a widely accepted class of multivariate statistical models, particularly suitable for handling reasoning with uncertainty. Implementation of a BN results in a set of nodes and a set of conditional independence statements that provide an effective tool to explore associations in a system of variables. In this work, we also suggest two strategies for encoding prior knowledge in the BN estimating algorithm so that the BES theoretical framework can be represented into the network.
In order to face food insecurity as a global phenomenon, it is essential to rely on measurement tools that guarantee comparability across countries. Although the official indicators adopted by the United Nations in the context of the Sustainable Development Goals (SDGs) and based on the Food Insecurity Experience Scale (FIES) already embeds cross-country comparability, other experiential scales of food insecurity currently employ national thresholds and issues of comparability thus arise. In this work we address comparability of food insecurity experience-based scales by presenting two different studies. The first one involves the FIES and three national scales (ELCSA, EMSA and EBIA) currently included in national surveys in Guatemala, Ecuador, Mexico and Brazil. The second study concerns the adult and children versions of these national scales. Different methods from the equating practice of the educational testing field are explored: classical and based on the Item Response Theory (IRT).
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