Sampling Weights for Couples in Demographic and Health Surveys

描述（由申请人提供）：自 1987 年该计划启动以来，已在 90 多个发展中国家开展了使用标准化问卷的人口与健康调查 (DHS)，其中许多国家进行了 3、4 次或更多此类横断面调查，总共进行了 255 项调查。其中 125 项调查包括针对家庭中男性和女性的单独调查问卷，以便以后可以对已婚夫妇和同居夫妇的数据进行匹配。这些调查仅在加权后给出具有全国代表性的结果，以考虑不同抽样领域的不同抽样概率和不同答复率。男性的回复率低于女性，因此国土安全部夫妇的数据文件包括男性和女性的体重。研究人员一直不确定使用哪个权重来分析夫妻的结果。权重既不正确，该项目也不会提供新夫妇权重的计算，该计算将用于 11 DHS，其中可以获得夫妇权重，因为所有夫妇都可以在家庭调查问卷中识别。还将计算两个代理或替代夫妇的权重，因为这些权重可用于所有调查 与夫妇数据。将使用 2 个替代权重以及女性和男性权重中的每一个，通过与使用实际夫妇权重获得的相同指标的结果进行比较，计算平均值、比例、回归系数及其标准误差的百分比偏差和绝对百分比偏差。还将计算并比较具有五个权重的指标的均方误差估计。将要回答的一个问题是：代理夫妇权重是否需要计算，或者使用男性或女性权重得出的结果是否足够接近使用夫妇权重的估计值，因此可以使用其中一个或另一个？这项研究将记录使用女性或男性体重对夫妇数据进行分析时可预期的偏差程度，并将为在国土安全部和其他类似调查中使用夫妇数据的研究人员指出最佳权重。

DESCRIPTION (provided by applicant): Demographic and Health Surveys (DHS) using standardized questionnaires have been conducted in over 90 developing countries with many countries having 3, 4 or more such cross-sectional surveys since 1987 when the program started, giving a total of 255 surveys. 125 of these surveys include separate questionnaires for both men and women in households so data from married and in-union couples can later be matched. The surveys only give nationally representative results after weighting to account for different sampling probabilities and different response rates in different sampling domains. The response rates for men are lower than those for women so the DHS couples' data files include weights for both men and women. Investigators have been unsure which weight to use for analyses of couples' outcomes. Neither weight is correct nor will this project provide calculations of a new couple weight which will be used for the 11 DHS where the couple weight can be obtained because all couples can be identified in the household questionnaire. Two proxy or alternative couples weights will also be calculated as these are available for all surveys with couple data. The percentage bias and absolute percentage bias for means, proportions, regression coefficients and their standard errors will be calculated using each of the 2 alternative weights as well as the female and male weights by comparing to results for the same indicators obtained using the actual couple weight. Estimates of Mean Square Error for the indicators with the five weights will also be calculated and compared. One question that will be answered is: Do proxy couple weights need calculation or does use of male or female weights give results that are sufficiently close to estimates using couple weights so one or the other of these is acceptable to use? This study will document the level of bias that can be expected from analyses of couple data using female or male weights and will indicate the best weight to employ for researchers who use the couple data in DHS and other similar surveys.