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Food security measurement in a global context: The food insecurity experience scale

机译:全球背景下的粮食安全测量:粮食不安全体验规模

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The ability of households and individuals to access food (one of the key aspects of ' food security') is an important welfare dimension that poses important challenges for objective measurement. This paper describes the Rasch model-based procedures developed to define the eight-item Food Insecurity Experience Scale (FIES) as a contribution towards the establishment of an indicator for global monitoring of food insecurity. Experiential food insecurity survey data, collected by FAO from nationally representative samples of the adult population, once every year in 2014, 2015 and 2016 from 153 countries or territories, are used to develop methods to estimate cross-country comparable prevalence rates of moderate and severe food insecurity. A Rasch model-based scale was estimated separately for each country and data were assessed for consistency with model assumptions. To ensure cross-country comparability, a procedure based on the median normalized severities of each of the eight FIES items was used to define a global reference scale, against which measures obtained in each country can be separately calibrated. Calibration is obtained by equating the mean and standard deviation of the severity parameters of the items that appear to be common between the national and the reference scale, and thus used as anchoring points for the metric. Data showed sufficient consistency with the Rasch model assumptions to produce reliable measures of the prevalence of food insecurity in each country. Calibration was possible using 4 or more items as anchoring points in 151 of 153 (98.7%) of the cases, and 6 or more items in the vast majority of them (121 cases). Concurrent validation of the estimates of prevalence of food insecurity at national level was obtained by comparing the FIES-based indicator with other established indicators of social (under) development. National prevalence rates of moderate-or-severe food insecurity obtained by FAO correlate well with the prevalence of undernourishment and with several widely used indicators of national income, health, and well-being. The proposed calibration method can be applied to other existing experience-based food security scales that use similar items, thus affording the possibility to use data collected with those instruments to produce internationally comparable measures of the prevalence of food insecurity. Pending broader adoption of the FIES or compatible experience-based food security scales worldwide, countries could choose to use the 2014-2016 results obtained using the data collected by FAO as the baseline to monitor progress towards Target 2.1 of the recently established 2030 Agenda for Sustainable Development.
机译:家庭和个人进入食物的能力(“粮食安全”的关键方面之一)是一个重要的福利维度,对客观测量构成了重要挑战。本文介绍了开发的RASCH模型的程序,以定义八件食品不安全经验规模(FIE)作为建立全球监测粮食不安全的指标的贡献。粮农组织从成人人口全国代表样本收集的经验粮食不安全调查数据,2014年,2015年,2015年,2015年,2015年和2016年,从153个国家或地区,用于开发估算中等和严重的跨国比较普及率的方法粮食不安全。对于每个国家/地区,分别估计基于RASCH模型的标度,并评估数据以与模型假设的一致性进行一致。为了确保跨国可比性,使用基于八个FIE项目中的每一个的中位数的统一性严重性的程序来定义全局参考量表,可以单独校准每个国家中获得的措施。通过等同于国家和参考尺度之间的物品的严重性参数的平均值和标准偏差来获得校准,因此用作度量标准的锚点。数据显示出足够的一致性与RASCH模型假设,以产生每个国家的食物不安全普遍性的可靠措施。使用4个或更多项以153(98.7%)的锚点(98.7%)的病例中的锚点,并且在绝大多数(121例)中,使用4项或更多件物品。通过将基于FIE的指标与其他既定的社会(下)发展指标进行比较,获得了国家一级粮食不安全普遍估算估算估计。粮农组织获得的中度或严重粮食不安全的国家流行率与营养不良的患病率相关,并具有几个广泛使用的国民收入,健康和福祉指标。所提出的校准方法可以应用于使用类似物品的其他现有的基于经验的食品安全尺度,从而提供了利用与这些仪器收集的数据的可能性,以产生粮食不安全普遍性的国际可比性措施。待更广泛地采用FIE或兼容的基于经验的粮食安全尺度全球,各国可以选择使用粮农组织收集的数据作为基准在最近成立的2030年议程中监测目标2.1的基线获得的2014-2016结果发展。

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