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Correlation
A measure of association between an independent variable and a dependent variable
Direction (positive/negative) of correlations and their strength
Correlation may be positive (IV and DV increase/decrease together) or negative (IV and DV have inverse relationship)
Correlate (r) varies in strength (0 to 1)
If r = 0, IV and DV are unrelated
If r = (+/-)1, IV and DV are perfectly related
Three criteria of causality
Correlation: association between IV and DV
Temporal priority – in order for something to be a cause of crime, it must be proven to occur prior to crime
Time spent in prison → violent behavior
Violent behavior ← time spent in prison
Non-spuriousness
Spuriousness
The observed relationship between two variables is due to chance and some 3rd variable
If spurious, no causal relationship
Will ask what spuriousness means and what an example of spuriousness means in context
Example and diagram of a spurious correlation
