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