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Experimental Vs. Correlational
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Transcript
Interpreting Correlations
Correlational Research
Experimental Research
- Range: -1 to +1
- Positive: (e.g., r=.68)
- Negative: (e.g., r= -.74)
- Zero: (r=0; no relationship)
- r^2= percent of variation accounted for by the relation between x and y
- *example: r=.6, r^2=.36
- This type of research determines the relationship between variables.
- Correlational studies are used when an experiment is not ethical depending on the study being conducted.
- The goal is to find a cause and effect
- Trying to prove caustion
The 5 steps to Experimental research are:
1. Start with a sample
2. Random Assign participants into 2 groups or more
3. Experimental group receives treatment (Dependent Variable) control group does not receive treatment (Independent Variable)
4. Time passes
5. Post test is the measurement of the Dependent Variable against the Independent Variable
Examples of Experimental Research
Variables of Correlational Research
Advantages of Experimental research
Predictor Variable- AKA (Independent variable)
Predicts occurence of the dependent variable.
The variables vary naturally.
- Can do as many as a person likes
- Helpful in trying to figure out a certain problem
- Gives a representative sample of a certain population
- Many psychologist use this method
Types of correlational studies
Advantages of Correlational Research
- Observational Research
- Survey Research
- Archival Research
- Helpful when intervention is impossible or unethical.
- This type of research can collect more information & test various relationships.
Remember...
- Correlation does NOT equal causation!!!
- Third Variable Problem
- Reverse-Causality Problem
Experimental Vs. Correlational Research
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