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Scores and principal components: the relationship between components due to subjects and to variables

H J Rimoldi1, E B de Libonatti

  • 1University of Buenos Aires, Argentina. ciipme@ssdnet.com.ar

The Spanish Journal of Psychology
|January 5, 2002
PubMed

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Coefficient of Correlation

The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
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Calculating and Interpreting the Linear Correlation Coefficient

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Variation

An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
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Multiple Regression

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