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48 Additional information and optional tables Special consideration for household-level data When the individual version of the FIES survey module has been applied and the cases weighted by individual weights, the results are the prevalence of food insecure individuals in the target population (i.e. national population when the SDG indicator is being produced). It is essential to bear in mind, however, that when the household version of the FIES survey module has been applied and cases weighted by household weights, the results are the prevalence of food insecure households. In this case, to report the prevalence of food insecure individuals (SDG indicator 2.1.2), you must start by estimating the item parameters using the original, household-referenced data . Next, the distribution of individuals across raw scores has to be produced by using individual weights, that can be obtained by multiplying the household sampling weights by the household size. These procedures can be carried out within the RM.weights application or through another software, but users with household-level data must remember to carry out this additional calculation to ensure that their resulting prevalence rates refer to individuals in the national population. Table of information used in prevalence calculation This table may be included in a technical annex. Both the respondent parameters and the probabilities can also be used to model food insecurity in analyses. 5 Raw score Respondent severity parameter Measurement error a Weighted percent of cases with each raw score Probability of food insecurity (moderate to severe level) c Probability of food insecurity (severe level) ( A ) ( B ) ( C ) 0 b -3.760 1.569 20235666.141 0.000 0.000 1 -2.833 1.21 1350762.535 0.015 0.000 2 -1.678 0.981 798854.573 0.068 0.000 3 - 0.807 0.902 572736.394 0.297 0.000 4 -0.013 0.882 373394.593 0.592 0.000 5 See “Modeling Food Insecurity in Bivariate and Regression Analyses: ” http://www.fao.org/3/a-bp091e.pdf
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