Research Methods -> Correlations Flashcards
Correlation coefficients
A strong positive correlation coefficient will be a number closer to +1 whereas a strong negative correlation coefficient will be a number closer to -1. If a correlation coefficient is a number which is closer to 0, then this is normally shown as no correlation.
Positive correlations:
When both variables decrease or increase
Negative correlations:
When one variable increases, the other decreases.
The difference between correlations and experiments
In an experiment the results are due to the manipulation of the IV and therefore cause and effect can be inferred. In contrast, in a correlation, there is no such manipulation or control over any of the co-variables – they are simply just measured. Hence we cannot infer cause and effect only that one variable is highly related to the other variable. Also, in a correlation, there may be other intervening variables.
Strengths of correlations
Useful preliminary tool for research by assessing the strength and direction of a relationship, they provide a precise and quantifiable measure of how two variables are related
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Correlations are often used as a starting point to assess possible patterns between variables and can provide a tool for further study.
Weaknesses of correlations
Correlations do not show cause and effect, they only show a relationship.
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There could be a third variable which is actually causing the relationship between the two variables.