What are correlations and how do they work?What other types of correlations exist?
What is the simplest way to visually represent a correlation?
If a correlation between two variables was .4, what could you conclude about the relationship between these variables? What if it was .9? Explain your answers.
? True or false: Having a terrific marriage, one of the highest quality, ensures that the parent-child relationship will be of a high quality as well. Explain your answer.
? True or false: If a correlation coefficient is significant, it means that the amount of variance accounted for is meaningful. Explain your answer.
What steps are involved in selecting the appropriate test for the correlation coefficient?
When it comes to differences between means, how do you know when it’s appropriate to run a one-tailed versus a two-tailed test?
How do you interpret the r statistic? For example: r(32) = .628, p. < .05 – what does that mean?
Explain how to interpret the strength and direction of a correlation.
Do you agree or disagree with the following statement: Correlation implies causation. Why or why not?
What is regression and how is it represented?
An instructor reports that as the number of student interruptions during class decreases, student scores on in-class quizzes increase. Is this an example of a positive correlation or a negative correlation? Explain your answer.
What is the Pearson correlation coefficient and what does it measure?
What is a confound variable? Give at least two examples of confounds.
What is an outlier and what is the problem with these in correlations?
State three assumptions of tests for linear correlations.
What are some alternatives to using Pearson’s correlation coefficient and when would you use them?
Distinguish between the predictor variable and the criterion variable.
For each example, state whether one correlation is stronger than the other. If one is stronger, then state which is the stronger correlation. (a) r = +.04, r = −.40 (b) r = +.50, r = +.23 (c) r = +.36, r = −.36 (d) r = −.67, r = −.76