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X → T → Y indicates that X has an ________ on Y.
In this elaboration outcome, an antecedent variable creates a spurious association between X and Y.
Simultaneously controls for the effects of several independent variables.
The association between two variables when no other variable is controlled.
Produced by omitting important variables from a statistical model.
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.
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.
Refer to the random processes in a statistical model.
In this elaboration outcome, the control variable is intervening and there is no association in either partial table.
In elaboration analysis, this controls for the extraneous variable.
Multivariate analysis involving three-variable contingency tables.