Many Labs 3: Evaluating participant pool quality across the academic semester via replication
Many Labs 3: Evaluating participant pool quality across the academic semester via replication
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DOI：
10.1016/j.jesp.2015.10.012
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发表时间：
2016-11-01
影响因子：
3.5
通讯作者：
Nosek, Brian A.
中科院分区：
文献类型：
--
作者：
Ebersole, Charles R.;Atherton, Olivia E.;Nosek, Brian A.
大学参与者库是行为研究的关键资源，数据质量被认为在整个学期的课程中会有所不同。这个众包项目检查了10个已知效应，10个个体差异和3个数据质量指标在20个参与者池（N = 2696）和在线样本（N = 737）的学术学期过程中的学期时间变化。弱的学期时间的影响，观察数据质量指标，参与者的性别，和一些个体差异的焦虑，情绪和压力。然而，几乎没有证据表明学期的时间合格的实验或相关性的影响。该证据的一般性是未知的，因为只有一个子集的测试效应证明了整个样本中原始结果的证据。样本池的平均特征在学期中略有变化，但这些数据表明，这些变化大多与检测效果无关。(C)2015 Elsevier Inc. All rights reserved.
The university participant pool is a key resource for behavioral research, and data quality is believed to vary over the course of the academic semester. This crowdsourced project examined time of semester variation in 10 known effects, 10 individual differences, and 3 data quality indicators over the course of the academic semester in 20 participant pools (N = 2696) and with an online sample (N = 737). Weak time of semester effects were observed on data quality indicators, participant sex, and a few individual differences conscientiousness, mood, and stress. However, there was little evidence for time of semester qualifying experimental or correlational effects. The generality of this evidence is unknown because only a subset of the tested effects demonstrated evidence for the original result in the whole sample. Mean characteristics of pool samples change slightly during the semester, but these data suggest that those changes are mostly irrelevant for detecting effects. (C) 2015 Elsevier Inc. All rights reserved.