SPSS Correlation Analysis – Overview
In statistics we find several different correlations but simply “correlation” usually refers to the Pearson correlation: a number between -1 and 1 that indicates how strongly two metric variables are linearly related.
A second correlation, the Spearman correlation, can be used for ordinal variables. In SPSS, both correlations are found under .
SPSS Correlation Tutorials
Correlation coefficients explained in normal language with illustrations and examples. Read More
SPSS correlation test is a procedure for testing whether two metric variables are linearly related in some population. The extent to which they are is usually expressed by a number, called the correlation coefficient. There are a number of different correlation coefficients but “correlation” usually means product moment correlation coefficient, better known as “Pearson correlation” ... (Read More) Read More
SPSS CORRELATIONS generates tables with Pearson correlations and their underlying N’s and p-values. For other correlation coefficients such as Spearman’s, try the NONPAR CORR command. Read More
Cramér’s V is a number between 0 and 1 that indicates how strongly two categorical variables are associated. It’s often used together with a chi-square independence test. Read More
SPSS Correlation Tools
This tutorial presents a freely downloadable, user friendly tool for computing confidence intervals for Pearson correlations in SPSS. With easy-to-follow examples and instructions. Read More
SPSS CORRELATIONS generates tables containing correlations, the N for each correlation and its supposed significance. Unfortunately, there's no simple way to suppress the latter two pieces of information. This tutorial therefore proposes a simple tool for hiding the significance and/or N after the correlation tables have been produced. Read More