Sampling Weights for Couples in Demographic and Health Surveys

描述（由申请人提供）：使用标准化问卷的人口与健康调查（DHS）已在90多个发展中国家进行，自1987年该方案启动以来，许多国家进行了3次、4次或更多此类横断面调查，总共进行了255次调查。其中125项调查包括对家庭中的男性和女性分别进行问卷调查，以便稍后对已婚和未婚夫妇的数据进行比对。考虑到不同的抽样概率和不同抽样域的不同回复率，调查结果经过加权后才给出具有全国代表性的结果。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用哪种体重来分析夫妻的结果。这两个体重都不正确，这个项目也不会提供新的夫妇体重的计算，这将用于11个DHS，因为所有夫妇都可以在家庭问卷中确定，因此可以获得夫妇体重。还将计算两个代理或替代成对权重，因为这些可用于所有调查

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.