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Multivariate analysis involving three-variable contingency tables.
X → T → Y indicates that X has an ________ on Y.
Refer to the random processes in a statistical model.
In this elaboration outcome, an antecedent variable creates a spurious association between X and Y.
Displays the causal links between all variables in a complex model and provides estimates of the direct and indirect effects of one variable on another.
In this elaboration outcome, the control variable is intervening and there is no association in either partial table.
Produced by omitting important variables from a statistical model.
Two or more independent variables in a multiple regression are highly correlated with one another.
This elaboration outcome increases confidence that the original relationship is nonspurious.
Shows the effect of X on Y while controlling for all other independent variables in a multiple regression analysis.
In elaboration analysis, this controls for the extraneous variable.
The association between two variables when no other variable is controlled.