POLS 110 Lecture Notes - Lecture 6: Falsifiability, Twin, Dependent And Independent Variables
29 Oct 2017
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Set of propositions developed to explain what is observed. A good theory is falsifiable: you can collect data to prove it wrong just as you can collect data to support that theory. Specific predictions about what will occur if a theory is correct. Detailed biographical description of an individual: you can get lots and lots of information. Not to be confused with a single-case experimental design. Varies from -1. 0 to +1. 0 e. g. -1. 0, -0. 65, -0. 33, 0, +0. 22, +0. 70, +1. 00. The higher the absolute value, the stronger the relationship e. g. (-0. 9 > +0. 6; +0. 9>-0. 8) Higher scores on variable x associated with higher scores on. Higher scores on variable x associated with lower scores on. Variable z causes both variable x and variable y. Causes and effects measured at the same time. Examines whether causes are present before disorder develops. Include only those who are at greatest likelihood of developing a disorder. Third variable may produce changes in two correlated variables.
