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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

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

Between subjects designs (experimental design)
 completely randomized design: oneway design
 multilevel completely randomized design
 factorial design

