Using the Multi-level, Integrated Database Approach (MIDA) to Reduce Non-Response Error and Contextualize Survey Analysis

调查的答复率一直在下降，人们越来越担心，不答复的偏见正在增加，损害了调查研究数据的质量。 多层次综合数据库办法旨在解决和纠正这一问题。 MIDA大大丰富了现有的样本框架，方法是：a）从样本框架中提取所有可能的信息，用于数据收集和分析，B）通过链接来自广泛的公共数据库的案例级和汇总级数据来扩充样本框架，以及c）进一步加强数据收集工作，为答复者和非答复者记录在收集数据过程中产生的大量重复-收集过程本身。 扩增样本框架中的数据可用于a）通过向访谈者提供关于目标样本的更多信息来协助数据收集，B）通过在扩增样本框架中的所有病例已知的广泛的病例水平和汇总水平信息上比较应答者和非应答者来评估非应答偏差，以及c）通过使用相同的上下文数据来对已完成的病例进行分析来使分析上下文化。 MIDA的初步测试将从国家民意研究中心的国家样本框架中抽取400个地址的样本，并使用来自广泛的公共数据源的案例级和汇总级数据来增加这些案例。 调查研究是研究人口的最广泛使用的工具，但答复率的下降引起了人们的关注，即调查数据的质量由于无答复偏倚的增加而下降。 MIDA有可能：a）在数据收集期间为访谈者提供更多有用的信息，从而提高答复率; B）更好地评估调查中存在的无答复偏差的程度，然后制定适当的权重，以调整检测到的任何偏差; c）通过使上下文、地理数据自动作为每个调查数据文件的一部分，改进数据分析。 因此，MIDA应导致从调查中进行的科学研究的普遍改进。

Response rates in surveys have been declining, and there is growing concern that non-response bias is increasing and undermining the quality of survey-research data. The multi-level, integrated database approach (MIDA) seeks to address and redress this problem. MIDA greatly enriches existing sample frames by a) extracting all possible information from the sample frame for use in data collection and analysis, b) augmenting the sample frame by linking in both case-level and aggregate-level data from a wide range of public databases, and c) further enhancing the data collection by recording for both respondents and non-respondents a large degree of paradata generated during the data-collection process itself. The data in the augmented sample frame can be used to a) assist in data collection by providing interviewers with more information about the target sample, b) assess non-response bias by comparing respondents and non-respondents on the extensive case-level and aggregate-level information known for all cases in the augmented sample frames, and c) contextualize analysis by using the same contextual data for analysis on the completed cases. This initial test of MIDA will draw a sample of 400 addresses from the National Opinion Research Center national sample frame and augment those cases with case-level and aggregate-level data from a wide range of public data sources. It will then assess the completeness and accuracy of the added information such as by crosschecking data across information sources.Survey research is the most widely used tool for studying human populations, but the decline in response rates has raised the concern that the quality of data from surveys has been falling due to increased non-response bias. MIDA has the potential to a) improve response rates by providing interviewers with more useful information during data collection, b) better asses the level of non-response bias that exists in surveys and then develop appropriate weights to adjust for whatever bias is detected, and c) improve data analysis by making contextual, geographical data automatically available as part of every survey data file. MIDA should thus lead to a general improvement in scientific research from surveys.