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Internal validity and reliability of experience-based household food insecurity scales in Indian settings

机译:印度环境中基于经验的家庭粮食不安全量表的内部有效性和可靠性

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BackgroundExperience-based household food insecurity (HFI) scales are not included in large-scale Indian surveys. There is limited evidence on which experience-based HFI scale or questions within a scale are most relevant for India. Between 01 June and 31 August 2015, we reviewed 19 published and unpublished studies, conducted in India between January 2000 and June 2015, which used experience-based HFI scales. As part of this exercise, internal validity and reliability of the scale used in these studies was examined, field experiences of 31 researchers who used experience-based HFI scales in India were gathered and psychometric tests were conducted where raw data were available. ResultsOut of the 19 studies reviewed, HFI prevalence varied depending on the type of experience-based HFI scale used. Internal reliability across scales ranged between 0.75 and 0.94; however certain items (‘balanced meal’, ‘preferred food’, ‘worried food would run out’) had poor in-fit and out-fit statistics. To improve this, the following is suggested, based on review and experience of researchers: (1) cognitive testing of quality of diet items; (2) avoiding child-referenced items; (3) rigorous training of enumerators; (4) addition of ‘how often’ to avoid overestimation of food-insecure conditions; (5) splitting the cut and skip meal item and (6) using a standardized set of questions for aiding comparison of construct validity across scales. ConclusionsAn evidence-based policy dialogue is needed in India for contextualizing and harmonizing the experience-based HFI scales across multiple surveys to aid comparability over time, and support policy decision making.
机译:背景基于经验的家庭粮食不安全(HFI)量表未包括在大规模的印度调查中。关于基于经验的HFI量表或量表中的问题与印度最相关的证据有限。在2015年6月1日至8月31日期间,我们回顾了2000年1月至2015年6月在印度进行的19项已发表和未发表的研究,这些研究使用了基于经验的HFI量表。作为此练习的一部分,检查了这些研究中使用的量表的内部有效性和可靠性,收集了31位在印度使用基于经验的HFI量表的研究人员的现场经验,并在可获得原始数据的情况下进行了心理测试。结果在所审查的19项研究中,HFI的患病率因所使用的基于经验的HFI量表的类型而异。各个尺度的内部可靠性在0.75至0.94之间;但是某些项目(“均衡膳食”,“偏爱食物”,“担心的食物会耗尽”)的身体状况和身体状况统计数据较差。为了改善这一点,根据研究人员的评论和经验,提出以下建议:(1)对饮食项目质量的认知测试; (2)避免使用以儿童为参照的项目; (3)对调查员进行严格的培训; (4)增加“多久一次”以避免高估粮食不安全状况; (5)分割便餐和跳餐项目,以及(6)使用一组标准化的问题来帮助比较各个量表的结构效度。结论在印度,需要进行基于证据的政策对话,以便在多个调查中将基于经验的HFI量表进行情境化和协调化,以帮助实现长期的可比性并支持政策决策。

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