The statistical analysis of cheating paradigms
The statistical analysis of cheating paradigms
复制标题
作弊范式的统计分析
作者：
Morten Moshagen;B. Hilbig
在不道德行为研究中常用的一种范式是实施彩票，依靠随机化设备来确定奖金，同时确保随机结果只有参与者知道。因此，参与者有动机和机会通过匿名声称已经获胜来作弊。以这种方式获得的数据通常使用观察到的“赢”的反应作为实际不诚实的代理进行分析。然而，由于观察到的“赢”的反应是由诚实的受访者谁实际上赢得了污染，这种方法只允许间接推断不诚实，并导致大大低估的影响。作为一种补救措施，我们概述的方法来估计不诚实和其他变量之间的相关性，以及预测不诚实的修改后的逻辑回归模型。使用模拟和经验数据，我们证明了所提出的方法的优越性和相关性。
One type of paradigm commonly used in studies on unethical behavior implements a lottery, relying on a randomization device to determine winnings while ensuring that the randomized outcome is only known to participants. Thereby, participants have the incentive and opportunity to cheat by anonymously claiming to have won. Data obtained in such a way are often analyzed using the observed “win” responses as a proxy for actual dishonesty. However, because the observed “win” response is contaminated by honest respondents who actually won, such an approach only allows for inferring dishonesty indirectly and leads to substantially underestimated effects. As a remedy, we outline approaches to estimate correlations between dishonesty and other variables, as well as to predict dishonesty in a modified logistic regression model. Using both simulated and empirical data, we demonstrate the superiority and relevance of the suggested methods.
太累了，无法说出真相：自我控制的资源耗尽和不诚实。
影响因子：
3.5
作者：
Mead, Nicole L.;Baumeister, Roy F.;Gino, Francesca;Schweitzer, Maurice E.;Ariely, Dan
通讯作者：
Ariely, Dan
影响因子：
9.8
作者：
Abeler, Johannes;Becker, Anke;Falk, Armin
通讯作者：
Falk, Armin
影响因子：
3.6
作者：
Fischbacher, Urs;Foellmi-Heusi, Franziska
通讯作者：
Foellmi-Heusi, Franziska