1. X  T Y indicates that X has an _____ on Y. | | |
2. Each arrow in an arrow diagram represents the _____ of one variable on another.
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| 3. Refer to the random processes in a statistical model. | | |
| 4. The hypothesized relationships in a statistical model. | | |
| 5. Multivariate analysis involving three-variable contingency tables. | | |
| 6. In elaboration analysis, this shows the effect of X on Y when a third variable is controlled. | | |
| 7. The association between two variables when no other variable is controlled. | | |
| 8. In this elaboration outcome, there is an interaction effect—the effect of X on Y depends on T. | | |
| 9. In this elaboration outcome, an antecedent variable creates a spurious association between X and Y. | | |
| 10. In this elaboration outcome, the control variable is intervening and there is no association in either partial table. | | |
| 11. This elaboration outcome strengthens ones’ confidence that the original relationship is nonspurious. | | |
| 12. The relationship between X and Y is revealed when this is controlled. | | |
| 13. May examine the effect of X on Y while simultaneously controlling for the effects of several other independent variables. | | |
| 14. Produced by omitting important variables from a statistical model. | | |
| 15. In a multiple regression equation, this represents the effect of X on Y while controlling for all other variables in the analysis. | | |
| 16. Two or more independent variables in a multiple regression are highly correlated with one another. | | |
| 17. A statistical technique in which a complex model is pictorially represented and analyzed via a series of multiple regression equations. | | |
| 18. Represent the direct effects of each path in a path analysis. | | |