POLS 2503 Lecture Notes - Lecture 9: Unobservable, Causal Inference, Dependent And Independent Variables
26 Oct 2017
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Document Summary
Causality exists beyond data; the principle that a change in the state of one phenomenon (variable) universally produces a corresponding change in another. Causal effect the difference between the systematic component of observations made when the state of one variable changes. What"s the difference between causality and causal inference: abstract phenomenon vs. inference made from data, truth vs. an educated guess about truth. What"s the difference between causal and descriptive inference: describing a relationship between variables vs. an educated guess about reality, causation vs. claims, one can never know a true causal effect, unobservable vs. observable. 2: carefully selected dependent variable ensure that the dependent variable does not affect the. Internally consistent cannot contradict itself independent variable: max concreteness directly observable phenomenon. Problem: how does one study norms: encompassing.
