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Multivariate analysis involving three-variable contingency tables.
In elaboration analysis, this controls for the extraneous variable.
Simultaneously controls for the effects of several independent variables.
This elaboration outcome increases confidence that the original relationship is nonspurious.
Produced by omitting important variables from a statistical model.
The association between two variables when no other variable is controlled.
Refer to the random processes in a statistical model.
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.
Two or more independent variables in a multiple regression are highly correlated with one another.
In this elaboration outcome, the control variable is intervening and there is no association in either partial table.
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.