This report analyzes different approaches to measuring food problems among impoverished households. Researchers investigating what public policy analysts refer to as hunger have sketched out alternative conceptual spaces within which these food problems can be measured. The narrower conceptual space may be termed food insufficiency and is distinguished by restricted household food stores, too little food intake among adults or children in the household, and direct reports or perceptions of hunger among household members. The broader conceptual space may be termed food insecurity. This term subsumes food insufficiency and extends to include resource insufficiency, the inability to acquire enough nutritious food through culturally normalized means, and anxiety about this inability, along with various attempts to augment or stretch the food supply. Since the late 1980s these two definitions of food problems in impoverished households have been understood as hunger, insofar as hunger is a measurable phenomenon for policy purposes in an advanced industrial nation such as the United States. These definitions are now central in the development of survey research items used to estimate the population prevalence of hunger, along with its predisposing socioeconomic conditions and resultant health and developmental consequences. Drawing on a data set containing survey responses from more than 5200 low income households with children in 11 sites from around the nation, we conduct an empirical inquiry of questionnaire items tapping phenomena from each conception defined above. Specifically, the study examines 34 distinct questionnaire items, and it addresses four research questions: (1) To what aspect of food insecurity or food insufficiency does each indicator point? (2) Can particular combinations of items be scaled? (3) When scaled, do the items demonstrate content validity? (4) How do the alternative measures perform in an operationalized model of the antecedents and consequences of household food problems? We test models that include variables such as household income, household food and shelter expenditures, and bills in arrears, along with the health status of a randomly chosen child from each household.
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