five

Food Insecurity Experience Scale 2021 - Georgia

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microdata.worldbank.org2023-01-20 更新2025-03-22 收录
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Abstract --------------------------- Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at http://www.fao.org/in-action/voices-of-the-hungry/fies/en/ . The FIES-based indicators are compiled using the FIES survey module, containing 8 questions. Two indicators can be computed: 1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity. These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys. Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available in the documentations tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error. Geographic coverage --------------------------- National coverage Analysis unit --------------------------- Individuals Universe --------------------------- Individuals of 15 years or older with access to landline and/or mobile phones. Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- A stratified multi-stage cluster sample design was used to complete 1,001 face-to-face surveys. Exclusions: South Ossetia and Abkhazia were not included for the safety of the interviewers. In addition, very remote mountainous villages or with less than 100 inhabitants were also excluded. The excluded area represents approximately 8% of the population. Design effect: 1.45 Mode of data collection --------------------------- Computer Assisted Personal Interview [capi] Cleaning operations --------------------------- Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model. Sampling error estimates --------------------------- The margin of error is estimated as 3.7. This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect.

摘要 -------------------------------- 可持续发展目标(SDG)2.1 承诺各国消除饥饿,确保所有人全年都能获得安全、营养和充足的食物。指标2.1.2,‘基于食物安全体验量表(FIES)的食物不安全普遍性’,提供了关于面临食物获取困难的人口比例的国际可比估计。更详细的背景信息可在以下链接找到:http://www.fao.org/in-action/voices-of-the-hungry/fies/en/。 基于FIES的指标是通过FIES调查模块编制的,包含8个问题。可以计算两个指标: 1. 经历中度或严重食物不安全的人口比例(SDG指标2.1.2), 2. 经历严重食物不安全的人口比例。 这些数据由FAO通过盖洛普世界民意调查收集。关于方法论的详细信息可在以下链接找到:https://www.gallup.com/178667/gallup-world-poll-work.aspx。国家机构也可以通过在国家代表性调查中包含FIES调查模块来收集FIES数据。 微观数据可用于计算国家层面的指标2.1.2。计算此指标的说明可在文档标签页中找到的方法论文件中描述。不鼓励在次国家层面分解结果,因为估计将受到大量抽样和测量误差的影响。 地理覆盖范围 -------------------------------- 全国覆盖 分析单位 -------------------------------- 个人 总体 -------------------------------- 15岁及以上,有固定电话和/或移动电话的个人。 数据类型 -------------------------------- 样本调查数据 [ssd] 抽样程序 -------------------------------- 使用了分层多阶段集群抽样设计来完成1,001次面对面调查。 排除:由于采访者的安全,南奥塞梯和阿布哈兹没有被包括在内。此外,非常偏远的高山村庄或人口少于100人的村庄也被排除。被排除的区域大约占人口的8%。 设计效应:1.45 数据收集方式 -------------------------------- 计算机辅助个人访谈 [capi] 清洗操作 -------------------------------- 统计验证通过测试FIES数据的Rasch模型假设的一致性来评估其质量。该分析涉及对多个统计量的解释,这些统计量揭示了1)在特定环境中表现不佳的项目,2)具有高度异常响应模式的案例,3)可能冗余的项目对,以及4)由测量模型解释的总体方差比例。 抽样误差估计 -------------------------------- 误差范围估计为3.7。这是在95%置信水平下的比例计算得出的。最大误差范围是在假设报告百分比为50%的情况下计算的,并考虑了设计效应。
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