Keuschnigg Marc, Bader Felix, Bracher Johannes
Department of Sociology, LMU Munich, Konradstrasse 6, 80801 Munich, Germany.
Soc Sci Res. 2016 Sep;59:68-82. doi: 10.1016/j.ssresearch.2016.04.014. Epub 2016 Apr 12.
We use Mechanical Turk's diverse participant pool to conduct online bargaining games in India and the US. First, we assess internal validity of crowdsourced experimentation through variation of stakes ($0, $1, $4, and $10) in the Ultimatum and Dictator Game. For cross-country equivalence we adjust the stakes following differences in purchasing power. Our marginal totals correspond closely to laboratory findings. Monetary incentives induce more selfish behavior but, in line with most laboratory findings, the particular size of a positive stake appears irrelevant. Second, by transporting a homogeneous decision situation into various living conditions crowdsourced experimentation permits identification of context effects on elicited behavior. We explore context-dependency using session-level variation in participants' geographical location, regional affluence, and local social capital. Across "virtual pools" behavior varies in the range of stake effects. We argue that quasi-experimental variation of the characteristics people bring to the experimental situation is the key potential of crowdsourced online designs.
我们利用亚马逊土耳其机器人(Mechanical Turk)多样化的参与者群体在印度和美国开展在线讨价还价游戏。首先,我们通过改变最后通牒博弈和独裁者博弈中的赌注(0美元、1美元、4美元和10美元)来评估众包实验的内部有效性。为实现跨国等效性,我们根据购买力差异调整赌注。我们的边际总数与实验室研究结果密切相符。货币激励会引发更多自私行为,但与大多数实验室研究结果一致,正赌注的具体数额似乎无关紧要。其次,通过将同质决策情境置于各种生活条件下,众包实验能够识别情境对所引发行为的影响。我们利用参与者地理位置、地区富裕程度和当地社会资本的会话级差异来探究情境依赖性。在“虚拟群体”中,行为在赌注效应范围内有所不同。我们认为,人们带入实验情境的特征的准实验性变化是众包在线设计的关键潜力所在。