Conducting interactive experiments online
Conducting interactive experiments online
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DOI：
10.1007/s10683-017-9527-2
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发表时间：
2018-03-01
影响因子：
2.3
通讯作者：
Molleman, Lucas
中科院分区：
文献类型：
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作者：
Arechar, Antonio A.;Gaechter, Simon;Molleman, Lucas
在线劳动力市场为行为研究提供了新的机会，但在线进行经济实验带来了重要的方法论挑战。这尤其适用于交互式设计。在本文中，我们提供了在实验室和在线进行的互动实验之间的相似性和差异的方法论讨论。为此，我们使用实验室和在线平台Amazon Mechanical Turk的样本进行了一次重复的公共产品实验，无论是否受到惩罚。因此，它提供了一个很好的案例研究，讨论在线互动实验的方法和实际挑战。我们发现，实验室中合作和惩罚的基本行为模式在网上是可以复制的。在线互动实验最大的挑战是参与者的流失。我们讨论了减少辍学的措施，并表明，对于我们的案例研究，辍学是外源性的实验。我们的结论是，通过互联网进行交互式实验的数据质量是足够的和可靠的，使在线交互式实验室研究的一个潜在的有价值的补充。
Online labor markets provide new opportunities for behavioral research, but conducting economic experiments online raises important methodological challenges. This particularly holds for interactive designs. In this paper, we provide a methodological discussion of the similarities and differences between interactive experiments conducted in the laboratory and online. To this end, we conduct a repeated public goods experiment with and without punishment using samples from the laboratory and the online platform Amazon Mechanical Turk. We chose to replicate this experiment because it is long and logistically complex. It therefore provides a good case study for discussing the methodological and practical challenges of online interactive experimentation. We find that basic behavioral patterns of cooperation and punishment in the laboratory are replicable online. The most important challenge of online interactive experiments is participant dropout. We discuss measures for reducing dropout and show that, for our case study, dropouts are exogenous to the experiment. We conclude that data quality for interactive experiments via the Internet is adequate and reliable, making online interactive experimentation a potentially valuable complement to laboratory studies.