Mitchell Colter
Center for Research on Child Wellbeing and Office of Population Research, Princeton University, 288 Wallace Hall, Princeton, NJ, 08544.
J Marriage Fam. 2010 Aug;72(4):893-905. doi: 10.1111/j.1741-3737.2010.00737.x.
Researchers rely on relationship data to measure the multifaceted nature of families. This article speaks to relationship data quality by examining the ramifications of different types of error on divorce estimates, models predicting divorce behavior, and models employing divorce as a predictor. Comparing matched survey and divorce certificate information from the 1995 Life Events and Satisfaction Study (N = 1,811) showed that nonresponse error is responsible for the majority of the error in divorce data. Misreporting the divorce event was rare, and more than two thirds of respondents provided a divorce date within 6 months of the actual date. Nevertheless, divorce date error attenuated effects of time since divorce on outcomes. Gender, child custody, marital history, and education were associated with divorce error.
研究人员依靠关系数据来衡量家庭的多面性。本文通过研究不同类型的误差对离婚估计、预测离婚行为的模型以及将离婚作为预测因素的模型的影响,探讨了关系数据质量。对1995年生活事件与满意度研究(N = 1811)中匹配的调查信息和离婚证书信息进行比较后发现,无应答误差是离婚数据中大部分误差的原因。错误报告离婚事件的情况很少见,超过三分之二的受访者提供的离婚日期与实际日期相差在6个月之内。然而,离婚日期误差削弱了离婚后时间对结果的影响。性别、子女监护权、婚姻史和教育程度与离婚误差有关。