r each correlation, explain:  how directionality could influence the interpretation AND  how a third variable could influence the interpretation. Next, could an experiment or quasi-experiment shed further light on the correlation—and perhaps uncover a causal relationship? Identify an independent variable (IV) that could serve as your grouping variable and  a dependent variable (DV) on which you could measure the effect of different levels/conditions of the IV. You would then use an independent-measures t-test to analyze your data. There is a positive correlation between the number of books found in the home and the college GPAs of the students coming from those homes. Directionality: Third Variable:

For each correlation, explain:

•  how directionality could influence the interpretation AND
•  how a third variable could influence the interpretation.
• Next, could an experiment or quasi-experiment shed further light on the correlation—and perhaps uncover a causal relationship?
• Identify an independent variable (IV) that could serve as your grouping variable and
•  a dependent variable (DV) on which you could measure the effect of different levels/conditions of the IV.
• You would then use an independent-measures t-test to analyze your data.

1. There is a positive correlation between the number of books found in the home and the college GPAs of the students coming from those homes.

Directionality:

Third Variable:

IV:

DV:

1. Happily married couples tend to have more sex (with each other) than unhappy couples.

Directionality:

Third Variable:

IV:

DV: