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Monday, 05 January 2009 10:43

Studies Using Correlational Analysis

Written by Keiron Walsh
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Correlational analysis is not technically a research method; however, 'correlational studies' is often used to refer to an investigation that involves measurements to determine whether one variable is related in some way to another (whether they are co-related). There are two basic forms of correlation: positive and negative. If a correlation is positive, this means that high values of one of the two variables are associated with high values of the other. If a correlation is negative, high values of one variable are associated with low values of the other.

Strong Positive Correlation

Strong Negative Correlation

WeakNegativeCorrelation.png

NoCorrelation.png

Unlike an experiment, where the researcher manipulates an independent variable and measures a dependent variable, a researcher using correlational methods identifies and measures co-variables.

Usually, psychologists calculate a correlation coefficient, which indicates how strongly the co-variables are linked to each other. -1 indicates a perfect negative correlation (as one variable increases, the other decreases) +1 indicates a perfect positive correlation (as one variable increases, the other also increases). Correlation coefficients can be between +1 and -1. A correlation coefficient of +0.8 would be considered a strong positive correlation, while a correlation coefficient of +0.2 would be considered to be a weak positive correlation.

Last modified on Saturday, 17 July 2010 16:06

1 Comment

  • Comment Link Victor Monday, 31 January 2011 13:55 posted by Victor

    Wow! Cool, i used the same methodology in google analytic.

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Keiron Walsh

Keiron Walsh

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