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Lecture 13

Lecture 13 - Correlation Analysis
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Department
Political Science
Course
POL3371
Professor
Ivan Katchanovski
Semester
Winter

Description
March 7, 2014 CorrelationAnalysis  Correlation: association between variables at interval/ratio level o Used to test research hypotheses o In practice, can be also used for ordinal variables with appropriate assumptions o Measures statistical significance, strength, and direction of association o Typically used for bivariate analysis (two variables) o Examples Correlation: Direction of Association o Positive (X up, Y up) o Negative (X up, Y down) o No association (flat line) Correlation Coefficient (Pearson’s R) • Correlation Coefficient: Pearson’s R • Ranges between -1 (negative association) 0 (no association), and 1 (positive association) • 0: no association • 0 - 0.25: weak association • 0.25 - 0.5: moderate association •
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