15: Correlations
- Page ID
- 44943
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- 15.1: Refresh to Prepare
- New statistics, but still the same variables and process.
- 15.2: What do Two Quantitative Variables Look Like?
- Now that you have an idea about looking at two quantitative variables, let's see what they might look like together.
- 15.3: Introduction to Pearson’s r
- What the heck is an r analysis?
- 15.4: Correlation versus Causation
- What's the difference between two variables being related, or one variable causing the other variable?
- 15.5: Strength, Direction, and Linearity
- If correlations are like a descriptive statistic, what can they describe?
- 15.6: Hypotheses
- Because we're not talking about relationships between variables, not mean differences, what do our research hypotheses and null hypotheses look like?
- 15.7: Correlation Formula- Covariance Divided by Variability
- Now that you know more about what Pearson's correlation means, let's look at the actual formula.
- 15.8: Practice Correlation on Anxiety and Depression
- Wanna practice a Pearson's r calculation when the standard deviations are provided to you?
- 15.9: Practice Correlation on Nutrition
- Did you forget how to calculate a standard deviation? This example includes a refresher, then using the standard deviations in the correlation formula.
- 15.10: Alternatives to Pearson's Correlation
- Are there alternatives if Pearson's r doesn't seem right?
- 15.11: Final Considerations
- There are a few final tidbits about correlations that you should know.