Computational Experiments in Candidate Evaluation and Vote Choice

这项研究调查汇集了研究和方法 从行为决策理论和计算模型， 探索投票的过程理论。 将调查数据与 计算机模拟，也就是所谓的计算实验， 调查人员可以比较和评估过程理论， 候选人的评价和选择。 研究人员利用这个方法进行了五项实验研究。 候选人评价中重要问题的调查方法 过程，包括问题复杂性的影响（ 候选人限定他们的职位或简单地陈述他们）， 信息顺序、呈现格式与特质的影响 候选人对候选人评价的推断。 这 独特的研究可以在方法上取得重大进展， 我们对候选人问题和特质影响的理解 评估和候选人选择。

This research investigation brings together research and methods from behavioral decision theory and computational modeling to explore process theories of voting. Combining survey data with computer simulations, in what is called computational experiments, the investigators can compare and evaluate process theories of candidate evaluation and choice. The investigators undertake five experimenal studies using this method to investigate important isssues in the candidate evaluation process, including the impact of issue complexity (whether candidates qualify their positions or state them simply), information order, presentation format, and the affect of trait inferences of candidates on the evaluation of the candidates. This unique investigation allows significant methodological advances in our understanding of the affect of issue and trait in candidate evaluation and candidate selection.