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In the Causal Scenario condition, participants learned in a diagnostic situation in which a common cause (Outcome 1) caused two disjoint effects, namely Cues A and B. In the Non-Causal Scenario condition, the same IbC design and stimulus conditions were used.
In other words, the exposure causes the mediator and the mediator interacts with exposure to cause outcome.
Second, because it is calculated using a ratio, it may cause outcome data to be non-normally distributed.
Therefore, effects of policies should be evaluated in terms of actions that cause outcome removal rather than in terms of outcome removal per se [ 48].
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Fifth, the effects of genotypic diversity are often non-additive and synergistic, indicating that interactions between neighboring genotypes can cause outcomes which differ from additive expectations [17] [18], [23] [25].
Instead, they have based their evaluations explicitly or implicitly on fundamentally different philosophical assumptions most commonly the positivist notion that interventions in and of themselves cause outcomes.
Because of lack of specificity, respiratory/other chest symptoms (786) describing patients presenting symptoms such as chest pain and labored breathing, were not pooled into either respiratory or cardiac "all-cause" outcome groups but rather considered as a separate outcome group.
Therefore, a longitudinal study that could further determine cause-outcome relationships is necessary.
The sequence of cause-outcome pairings presented to each participant in Group Yoked was derived from the performance of the corresponding active participant.
Cause-outcome coincidences (i.e., cells a) are known to be the pieces of information that have the largest impact on contingency judgments (e.g., Anderson & Sheu, 1995; Kao & Wasserman, 1993, Matute et al., 2011, Smedslund, 1963; White, 2003).
Research in this field has been interested on how people make use of the information derived from cause-outcome pairings, regardless of whether the cause is the behavior of the person who judges the causal relation or an external event (e.g., Allan & Jenkins, 1983; Blanco, Matute, & Vadillo, 2013; Jenkins & Ward, 1965; Kao & Wasserman, 1993; Shanks, 2007; Wasserman, 1990).
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