PSCI 2701 Lecture 4: PSCI 2701A - May 11 2016
23 Jun 2016
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Document Summary
Correlation: a change occurs in one variable when there is a change in the other. Spuriousness: the observed empirical correlation can not be explained in terms of a third variable. Allows the causality conditions to ensure that they can construct causality. Relies on the general rule that causes occur before effects. Relies on the general rule that if a cause and an effect go together in one situation, they will go together in others as well. (baxter-moore et al. , p. 60) Best method for establishing causality focuses on one explanation, and simultaneously eliminates almost all other competing explanations. Used to establish numerical probabilities about the nature and strength of relationships between variables. Help identify methods that may be spurious, isolate a variable to test. Fail to consider other alternative explanations or causes before arriving at conclusions. Drawing conclusions by generalizing two or few cases.
