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Correlational research (non experimental design)
- goal is to describe the strength of the relationship between two or more events or characteristics
- correlation coefficient
- two aspects to a correlation coefficient: value & design
- scatterplots
- where and why used (reliability, validity, prediction, theory verification)
- problems with interpreting causation: directionality and 3rd variable
- illusory correlation
- factors what distory correlation coefficients
- why and how hypothesis testing with correlation
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Regression (non experimental design)
- linear regression is used to describe the relationship between who samples, used to predict one score (scores on test) from the other score (hours studied)
- extend the findings of correlational research
- goal is to find the equation for the line that best fits the pattern of the data
- criterion variable
- predictor variable
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Between subjects designs (experimental design)
- completely randomized design: one-way design
- multilevel completely randomized design
- factorial design
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