Following research that demonstrates insufficient effort responding (IER) may confound survey measures and inflate observed correlations (Huang, Liu, & Bowling, 2015c), a question emerges as to whether and when IER can act as a confound between objective tests and surveys. Using data (N = 243) originally designed to examine training and transfer, study 1 demonstrates that (a) IER is negatively related to performance on tests, and (b) IER’s influence on surveys depends on the sample means of these measures. As a result, IER could inflate a test’s association with other tests and surveys. Study 2 investigates the impact of two parameters—within-person consistency of IER and percentage of IER cases in the sample—by randomly replacing bootstrapped attentive responses (10,000 bootstrapped samples of 200 cases identified from study 1). When predicting the confounding effects of IER, within-person consistency has positive linear and quadratic effects, percentage of IER cases has a positive linear effect, and consistency and percentage have a positive interactive effect. Research and practical implications for the design and evaluation of surveys and tests are discussed.

在研究表明努力响应不足 (IER) 可能会混淆调查措施并夸大观察到的相关性（Huang、Liu 和 Bowling，2015c）之后，出现了一个问题，即IER是否以及何时可以作为客观测试和调查之间的混淆。使用数据 ( N = 243) 最初旨在检查培训和转移，研究 1 表明 (a) IER 与测试成绩呈负相关，以及 (b) IER 对调查的影响取决于这些措施的样本均值。因此，IER 可能会夸大测试与其他测试和调查的关联。研究 2 通过随机替换自举专注反应（从研究 1 确定的 200 个案例中的 10,000 个自举样本）来调查两个参数的影响——IER 的个人一致性和样本中 IER 病例的百分比。在预测IER的混杂效应时，人内一致性具有正的线性和二次效应，IER案例的百分比具有正的线性效应，一致性和百分比具有正的交互效应。