"The measure of how strongly two or more variables are related to each other"
There are 3 correlations which can occur -
1. POSITIVE CORRELATION
2.NEGATIVE CORRELATION
3. NO CORRELATION
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POSITIVE CORRELATION
"high values of one variable are associated with high values of the other...the variables increase together"
Example
X: the number of hours a child spends on watching violent TV shows Y: the aggressiveness of a child
The more time a child spends on watching violent TV show, the more aggressive is the child.
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NEGATIVE CORRELATION
"high values of one variable are associated with low variables of the other...as one variable increases the other decreases"
still indicates some relationship exsist
ExampleX: the number of hours a student spends on watching TV Y: a student’s mark on the exam
The more time a student spends on watching TV, the lower his/her mark is on the exam.
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NO CORRELATION
"If there is no correlation between two variables they are said to be uncorrelated"
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NOTE THAT A HYPOTHESIS FOR CORRELATION IS A PREDICTION OF A RELATIONSHIP AND NOT A DIFFERENCE OR CAUSE AND EFFECT.
Therefore you should never write a hypothesis for a correlation that includes the words 'DIFFERENCE', 'CAUSE' or 'EFFECT'.
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EVALUATION OF CORRELATINAL ANALYSIS
STRENGTHS
+They are very good for showing possible relationships between variables. Researchers may often use correlation analysis as a starting point in their research and if a relationship is found between variables they can then investigate this further.
WEAKNESSES
-They cannot demonstrate cause and effect relationshi between variables.
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