Covariation information can be used to infer whether a causal link plausibly exists between two dichotomous variables, and such judgments of contingency are central to many critical and everyday decisions. However, individuals do not always interpret and integrate covariation information effectively, an issue that may be compounded by limited numeracy skills, and they often resort to the use of heuristics, which can result in inaccurate judgments. This experiment investigated whether presenting covariation information in a composite bar chart increased accuracy of contingency judgments, and whether it can mitigate errors driven by low numeracy skills. Participants completed an online questionnaire, which consisted of an 11-item numeracy sca...
Previous research on how people judge the relation between continuous variables has indicated that j...
It is proposed that causal judgments about contingency information are derived from the proportion o...
It is proposed that causal judgments about contingency information are derived from the proportion o...
Subjects made judgments concerning the strength and direction of the contingency between two dichoto...
Many theories of contingency learning assume (either explicitly or implicitly) that predicting wheth...
This dissertation begins with a review of competing theories of human contingency judgment, and then...
textPrevious research has shown that causal attributions can be made from patterns of covariation (C...
textPrevious research has shown that causal attributions can be made from patterns of covariation (C...
Representational effects in a fictitious virus-disease causal induction task were examined in three ...
There are four kinds of contingency information: occurrences and nonoccurrences of an effect in the ...
There are four kinds of contingency information: occurrences and nonoccurrences of an effect in the ...
There are four kinds of contingency information: occurrences and nonoccurrences of an effect in the ...
Causal reasoning is an important and complex process, in which individuals have multiple sources of...
This is an accepted author manuscript of an article subsequently published by Elsevier. The final pu...
There are four kinds of contingency information: occurrences and nonoccurrences of an effect in the ...
Previous research on how people judge the relation between continuous variables has indicated that j...
It is proposed that causal judgments about contingency information are derived from the proportion o...
It is proposed that causal judgments about contingency information are derived from the proportion o...
Subjects made judgments concerning the strength and direction of the contingency between two dichoto...
Many theories of contingency learning assume (either explicitly or implicitly) that predicting wheth...
This dissertation begins with a review of competing theories of human contingency judgment, and then...
textPrevious research has shown that causal attributions can be made from patterns of covariation (C...
textPrevious research has shown that causal attributions can be made from patterns of covariation (C...
Representational effects in a fictitious virus-disease causal induction task were examined in three ...
There are four kinds of contingency information: occurrences and nonoccurrences of an effect in the ...
There are four kinds of contingency information: occurrences and nonoccurrences of an effect in the ...
There are four kinds of contingency information: occurrences and nonoccurrences of an effect in the ...
Causal reasoning is an important and complex process, in which individuals have multiple sources of...
This is an accepted author manuscript of an article subsequently published by Elsevier. The final pu...
There are four kinds of contingency information: occurrences and nonoccurrences of an effect in the ...
Previous research on how people judge the relation between continuous variables has indicated that j...
It is proposed that causal judgments about contingency information are derived from the proportion o...
It is proposed that causal judgments about contingency information are derived from the proportion o...