Following are brief summaries of correlational findings, in which variables were

Question

Following are brief summaries of correlational findings, in which variables were found to be significantly associated with each other. Your task is to determine which of the three major causal models (i.e.: interpretations) could account for each finding. Indicate in the table below, by placing an X in the appropriate space, which of these three models could provide a possible explanation. Place an X in the space only if you judge the causal model to be possible & reasonably plausible. If you decide that the third model is possible, generate two possibilities for what variable "C" could represent, and type a short summary (one to 4 words should be sufficient) of these variables in the spaces provided. Keep in mind that more than one causal model may be possible for each finding. Your task is not to decide which model or models provide the true or even the best interpretation, but rather which provide possible and reasonable interpretations that could be tested by further investigation. This assignment will be graded on a 100-point scale. For each item, 10 points will be deducted if you identify a causal model as possible when it is not, or if you fail to identify a causal model as possible when it is. Five points will be deducted if you describe a third variable that cannot plausibly be a cause of variables A and B, or if you generate only one possible variable "C" given that you have checked the third model as feasible. The assignment will be worth 3% of your grade in the course. Make sure to type your name in the space indicated above. A 2009 study of college students found an association between use of Facebook and grade point average (GPA). Among undergraduates, over 80% used Facebook, and these students had an average GPA of about 3.0 out of a maximum possible 4. College students who did not use Facebook had a significantly higher average GPA of about 3.6. Several large-scale studies, at both the state and national level, have found significant negative correlations between individuals' credit scores (scores that range from 300 - 850, and indicate individuals' history of paying bills on time) and the likelihood of individuals filing auto insurance claims. The lower individuals' credit scores were, the greater the likelihood that they would file auto insurance claims.

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