Food Insecurity Experience Scale (FIES) - Kuwait

Abstract
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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 downloads tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

Geographic coverage
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National

Analysis unit
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Individuals

Universe
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Individuals of 15 years or older with access to landline and/or mobile phones.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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With some exceptions, all samples are probability based and nationally representative of the resident adult population. The coverage area is the entire country including rural areas, and the sampling frame represents the entire civilian, non-institutionalized, aged 15 and older population.
For more details on the overall sampling and data collection methodology, see the World poll methodology attached as a resource in the downloads tab. Specific sampling details for each country are also attached as technical documents in the downloads tab.
Exclusions: Includes only Kuwaitis, Arab expatriates and non-Arabs who were able to complete the interview in Arabic, English, Bengali or Hindi.
Design effect: 1.33

Mode of data collection
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Computer-Assisted Telephone Interviewing [CATI]

Cleaning operations
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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
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The margin of error is estimated as 3.5. 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
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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，'基于食品不安全感体验量表（FIES）的食品不安全感普遍程度'，提供了国际上可比较的估计，即面临食物获取困难的人口比例。更多详细背景信息可查阅 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. 经历中度或重度食品不安全感的人口比例（SDG 指标 2.1.2），
2. 经历重度食品不安全感的人口比例。

这些数据由联合国粮食及农业组织（FAO）通过盖洛普世界民意调查收集。有关方法论的详细信息可在此处查阅：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。

微观数据可用于在国家层面计算指标 2.1.2。计算此指标的说明可在下载选项卡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
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国家

分析单位
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个人

总体
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15 岁及以上，有固定电话和/或移动电话的个人。

数据类型
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样本调查数据 [ssd]

抽样程序
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除少数例外，所有样本都是基于概率的，且在全国范围内代表居民成年人口。覆盖区域为整个国家，包括农村地区，抽样框架代表所有非机构化、15 岁及以上、民事人口。
更多关于整体抽样和数据收集方法论的详细信息，请参阅附件中的世界民意调查方法论。每个国家的具体抽样细节也作为技术文件附加在下载选项卡中。
排除：仅包括能够用阿拉伯语、英语、孟加拉语或印地语完成访谈的科威特人、阿拉伯外籍人士和非阿拉伯人。
设计效应：1.33

数据收集方式
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计算机辅助电话访谈 [CATI]

数据清洗操作
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统计验证通过测试 FIES 数据与 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) 在特定背景下表现不佳的项目，2) 具有高度异常反应模式的案例，3) 可能是冗余的项目对，以及 4) 由测量模型解释的总体总方差的比例。

抽样误差估计
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误差范围估计为 3.5。这是在 95% 置信水平下围绕比例计算的。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。