How To Read Correlation Matrix Spss

A correlation matrix conveniently summarizes a dataset.

How to read correlation matrix spss.

How to create a correlation matrix in spss. The bivariate correlations window opens where you will specify the variables to be used in the analysis. In the syntax below the get file command is used to load the hsb2 data. To run a bivariate pearson correlation in spss click analyze correlate bivariate.

That s the pearson correlation figure inside the square red box above which in this case is 094. Each correlation appears twice. Above and below the main diagonal. This tutorial explains how to create and interpret a correlation matrix in spss.

By default spss always creates a full correlation matrix. And sometimes a correlation matrix will be colored in like a heat map to make the correlation coefficients even easier to read. Ordinal or ratio data or a combination must be used. In practice a correlation matrix is commonly used for three reasons.

All of the variables in your dataset appear in the list on the left side. A correlation coefficient gets to zero the weaker the correlation is between the two variables. Precede the correlation matrix with a matrix data command. The rest of the output shown below is part of the output generated by the spss syntax shown at the beginning of this page.

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. Our figure of 094 indicates a very weak positive correlation. Pearson s r varies between 1 and 1 where 1 is a perfect positive correlation and 1 is a perfect negative correlation. Click the analyze tab.

The types of correlations we study do not use nominal data. This page shows an example correlation with footnotes explaining the output. Use the following steps to create a correlation matrix for this dataset that shows the average assists rebounds and points for eight basketball players. These data were collected on 200 high schools students and are scores on various tests including science math reading and social studies socst the variable female is a dichotomous variable coded 1 if the student was female and 0 if male.

The 10 correlations below the diagonal are what we need. The plot above shows the items variables in the rotated factor space. When to use a correlation matrix. 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.

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. Spss permits calculation of many correlations at a time and presents the results in a correlation matrix.