Beta Regression on Causal Ratings Predicted by Experimental Factors and WMC.
收藏NIAID Data Ecosystem2026-03-09 收录
下载链接:
https://figshare.com/articles/dataset/_Beta_Regression_on_Causal_Ratings_Predicted_by_Experimental_Factors_and_WMC_/1576615
下载链接
链接失效反馈官方服务:
资源简介:
The dummy variable C2 was coded 1 for the zero contingency condition, -1 for the positive condition and 0 for the negative condition. C3 was coded 1 for the negative contingency condition, -1 for the positive condition and 0 for the zero condition. Ambiguity was coded 1 for the AU condition and -1 for the unambiguous conditions. Cognitive Demand was coded 1 for the high cognitive demand condition and -1 for the low conditions.
aOspan is standardized.
Beta Regression on Causal Ratings Predicted by Experimental Factors and WMC.
虚拟变量(dummy variable)C2的编码规则为:零因果依存条件组编码为1,正因果依存条件组编码为-1,负因果依存条件组编码为0。虚拟变量C3的编码规则为:负因果依存条件组编码为1,正因果依存条件组编码为-1,零因果依存条件组编码为0。歧义性(Ambiguity)的编码规则为:AU条件组编码为1,无歧义条件组编码为-1。认知需求(Cognitive Demand)的编码规则为:高认知需求条件组编码为1,低认知需求条件组编码为-1。
aOspan已完成标准化处理。
基于实验因素与工作记忆容量(Working Memory Capacity, WMC)对因果评分开展贝塔回归(Beta Regression)分析。
创建时间:
2015-10-15



