Correlation analysis is used when you want to analyze the relationship between scale variables.

As an example, if you want to see if there is a relation between personality and affection you can use a correlation analysis. Personality is a concept that, according to some authors, comprises 5 dimensions: extroversion, kindness, conscientiousness, neuroticism and openness to experience. As for affection, some authors refered 2 dimensions: positive and negative.

 Using the commands as shown in the following image, a new window will open (second image) where you can select the personality and affection variables .




The output will show all the correlations between variables. The ones marked with ** are correlations significant at the 0.01 level  and the ones marked with * are significant at 0.05 level.




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