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A Theoretically Grounded Scale to Measure SES in Surveys

A Theoretically Grounded Scale to Measure SES in Surveys
测量调查中社会经济地位的理论依据量表
批准号:
6402999
负责人:
KEVIN W SMITH
金额:
$9.99万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-09-15 至 2003-07-31

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中文摘要
翻译
描述(由申请人提供):目的是开发一种 一种心理测量学上合理但实用的社会经济地位测量量表 (SES)健康和流行病学调查。在以往努力的基础上, 论文(奥克斯和罗西2000年),规模将是第一个可操作的SES 通过“资本”积累的统一理论:社会经济地位是一个函数, 物质资本、人力资本和社会资本。这样的一个优点 创新的方法是,它以决策者熟悉的术语来界定社会经济地位 致力于改善公众健康。 制定一个实用的社会经济地位量表的重要性怎么强调都不过分。而 社会经济地位与健康之间的关系早已确立,甚至美国国立卫生研究院(NIH)也是如此。 承认现有措施不足以进行应用调查。一个 准确和可用的仪器将提供更有效的临床和 政策干预,以改善公众?的健康,特别是在老龄化 人口。 领域和项目池规格将受到先前研究的影响, 由杰出学者组成的顾问团。邮件调查将确定 量表的有用性和心理测量学特性。潜在SES的估计 将通过MIMIC模型进行构建。第二阶段计划包括 人种学和焦点小组细化,在整个调查中进行严格评估 模式、规范和产品分布。
英文摘要
DESCRIPTION (provided by applicant): The objective is to develop a psychometrically sound yet practical scale for measuring socioeconomic status (SES) in health and epidemiologic surveys. Building on previous efforts and our paper (Oakes and Rossi 2000), the scale will be the first to operationalize SES through the unified theory of "capital" accumulation: SES is a function of material capital, human capital and social capital. One advantage of this innovative approach is that it frames SES in terms familiar to policy-makers seeking to improve the public's health. The importance of developing a practical SES scale cannot be overstated. While the relationship between SES and health has long been established, even the NIH acknowledges that existing measures are inadequate for applied surveys. An accurate and useable instrument will provide for more efficacious clinical and policy interventions to improve the public?s health, especially in aging populations. Domain and item pool specification will be influenced by previous research and an Advisory Panel of distinguished scholars. A mail survey will determine the scale's usefulness and psychometric properties. Estimation of the latent SES construct will be done through a MIMIC model. Phase II plans include ethnographic and focus group refinement, rigorous evaluation across survey modes, norming, and product distribution.
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