This study proposes a method of nonresponse assessment based on meta-analytical file-drawer techniques, also known as worst-case resistance testing (WCRT), and suitable for a wide range of data collection scenarios. A general method is devised to estimate the number of significantly different nonrespondents it would take to significantly alter the results of an analysis. Estimates of nonrespondents can be plotted against effect sizes using "n-curves", with similar interpretation to p-curves or power curves. Variants of the general method are derived for tests of means and correlations. A sample using a well-established survey instrument from previous behavioral research is used to test the method. The results suggest that employing worst-case resistance testing can be used on its own or in conjunction with wave analysis to precisely flag nonresponse risks.

翻译：本研究提出一种基于元分析的排泄物-排泄物-排泄物-排泄物-处理器技术的不反应评估方法,又称最坏情况抗药性测试(WCRT),并适合于广泛的数据收集设想。设计了一个一般方法,用以估计其为大大改变分析结果而需要的差别很大的不反应者人数。用“n-curve”来计算未反应者的估计数,其估计值与p-curve或电流曲线相似。一般方法的变式用于测试手段和关联性。使用以往行为研究中完善的调查工具的样本来测试方法。结果显示,使用最坏的抗药性测试可自行使用,或与波分析一起使用最坏情况抗药性测试,以准确标出无反应风险。