Correlation Studies

Psychological Investigations - It is part of 20 marks on this AS level paper.

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Correlation Studies

CORRELATIONS

"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

(http://www.emathzone.com/basic-stat/positive-negative-corr/clip_image001.jpg) 

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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.

(http://www.researchmethodsinpsychology.com/wiki/images/4/4e/Correlation1.0.gif)

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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

Example   X: 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.

(http://critical-numbers.group.shef.ac.uk/glossary/images/correlation_clip_image006.gif) 

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NO CORRELATION

"If there is no correlation between two variables they are said to be uncorrelated"

(http://www.psychologynoteshq.com/wp-content/uploads/2011/10/NoCorrelation1.png)

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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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