five

Results of logistic regression analyses predicting voting behavior from explicit and implicit candidate preference and confidence.

收藏
NIAID Data Ecosystem2026-03-08 收录
下载链接:
https://figshare.com/articles/dataset/_Results_of_logistic_regression_analyses_predicting_voting_behavior_from_explicit_and_implicit_candidate_preference_and_confidence_/918351
下载链接
链接失效反馈
官方服务:
资源简介:
Predicting votes for Mr. Obama (1) versus Mr. McCain (0) from explicit and implicit preference for Mr. Obama (versus Mr. McCain) and their interaction with confidence. Controlling for date of attitude measures administration. Model 1 examines explicit candidate attitudes separately (N = 2,058). Model 2 examines implicit candidate attitudes separately (N = 2,013). Model 3 examines both attitude measures simultaneously (N = 2,013). CCC: correctly classified cases; B: regression weight B (log odds); SE: standard error of the regression weight B; Wald: Wald test statistic; OR: Odds ratio. Relative amount by which the odds increase (OR >1.0) or decrease (OR <1.0) when the value of the predictor is increased by 1 SD.
创建时间:
2014-01-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作