With respect to correlation matrix if any pair of variables has a value less than 0 5 consider dropping one of them from the analysis by repeating the factor analysis test in spss by removing variables whose value is less than 0 5.
How to read correlation matrix spss.
0 means there is no linear correlation at all.
To run a bivariate pearson correlation in spss click analyze correlate bivariate.
Ordinal or ratio data or a combination must be used.
In the syntax below the get file command is used to load the hsb2 data.
Click the analyze tab.
This page shows an example correlation with footnotes explaining the output.
The rest of the output shown below is part of the output generated by the spss syntax shown at the beginning of this page.
And sometimes a correlation matrix will be colored in like a heat map to make the correlation coefficients even easier to read.
A correlation coefficient gets to zero the weaker the correlation is between the two variables.
Pearson s r varies between 1 and 1 where 1 is a perfect positive correlation and 1 is a perfect negative correlation.
A correlation matrix conveniently summarizes a dataset.
The types of correlations we study do not use nominal data.
The bivariate correlations window opens where you will specify the variables to be used in the analysis.
This tutorial explains how to create and interpret a correlation matrix in spss.
Above and below the main diagonal.
Factor transformation matrix this is the matrix by which you multiply the unrotated factor matrix to get the rotated factor matrix.
The determinant of the correlation matrix is shown at the foot of the table below.
Each correlation appears twice.
How to create a correlation matrix in spss.
That s the pearson correlation figure inside the square red box above which in this case is 094.
The 10 correlations below the diagonal are what we need.
When your correlation matrix is in a text file the easiest way to have spss read it in a usable way is to open or copy the file to an spss syntax window and add the spss commands.
Use the following steps to create a correlation matrix for this dataset that shows the average assists rebounds and points for eight basketball players.
Also place the data within begin data and end data commands.
The plot above shows the items variables in the rotated factor space.
Precede the correlation matrix with a matrix data command.
Spss permits calculation of many correlations at a time and presents the results in a correlation matrix.
By default spss always creates a full correlation matrix.
The correlations on the main diagonal are the correlations between each variable and itself which is why they are all 1 and not interesting at all.
All of the variables in your dataset appear in the list on the left side.
Our figure of 094 indicates a very weak positive correlation.
