We consider the use of sample survey data to estimate dyadic characteristics of family networks, with an application to noncoresident parent–child dyads. We suppose that survey respondents report either from a parent or child perspective about a dyad, depending on their membership of the dyad. We construct separate estimators of common dyadic characteristics using data from both a parent and a child perspective and show how comparisons of these estimators can shed light on data quality issues including differential missingness and reporting error. In our application we find that a simple missingness model explains some striking patterns of discrepancies between the estimators and consider the use of poststratification and a related redefinition of count variables to adjust for these discrepancies. We also develop approaches to combining the separate estimators efficiently to estimate means and frequency distributions within subpopulations.

中文翻译：

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使用样本调查数据估算家庭网络的二元特征

我们考虑使用样本调查数据来估计家庭网络的二元特征，并将其应用于非共居父子二元组。我们假设被调查者从父母或孩子的角度对一个二元组进行报告，这取决于他们的二元组成员。我们使用来自父母和孩子的角度的数据构造具有共同二元特征的单独的估计量，并显示这些估计量的比较如何揭示数据质量问题，包括差异缺失和报告错误。在我们的应用程序中，我们发现一个简单的缺失模型可以解释估计值之间差异的一些显着模式，并考虑使用后分层以及相关的计数变量重新定义以针对这些差异进行调整。