Food Insecurity Experience Scale (FIES) - Liberia

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 Kantar. General information on the methodology can be found here: https://www.kantar.com/about. 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.

Geographic coverage
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National and admin 1

Analysis unit
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Individuals

Universe
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Individuals of 15 years or older.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The adopted sample design for the study was a multi-stage clustered sample stratified by region and urbanity.
Exclusions: NA
Design effect: NA

Mode of data collection
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Computer-Assisted Personal Interviewing (CAPI)

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 NA. 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要求各国承诺消除饥饿，确保所有人全年都能获得安全、营养充足的食物。指标2.1.2，‘基于食物不安全经验量表（FIES）的食物不安全普遍性’，提供了国际上可比较的估计值，反映了面临获取食物困难的人口比例。更详细的背景信息可参考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. 经历中等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Kantar收集。关于方法论的详细信息可在此处找到：https://www.kantar.com/about。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级别的指标2.1.2。计算此指标的方法在文档标签中的方法论文件中有描述。

地理覆盖范围
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国家和行政1

分析单位
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个人

总体
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15岁及以上个人。

数据类型
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样本调查数据[ssd]

抽样程序
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研究采用的抽样设计是分阶段分层聚类抽样，分层依据地区和城市化程度。
排除：不适用
设计效应：不适用

数据收集方式
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计算机辅助个人访谈（CAPI）

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。该分析涉及解释多个统计量，揭示以下内容：1）在特定情境下表现不佳的项目，2）具有高度异常响应模式的案例，3）可能重复的项目对，以及4）由测量模型解释的总方差在人口中的比例。

抽样误差估计
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误差范围估计为不适用。这是在95%置信水平下围绕比例计算得出的。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。