admin October 21, 2023 No Comments

Pearson Correlation in SPSS 

Pearson Correlation in SPSS 

Pearson Correlation is a parametric measure that produces a sample correlation coefficient, which measures the strength and direction of linear relationships among pairs of continuous variables. Pearson Correlation is also called as Pearson Product-Moment Correlation (PPMC).

Assumptions

  1. Two variables should be continuous.

  2. There should be a linear relationship between the two variables.

  3. There should be no significant outliers.

  4. The two variables should be approximately normally distributed.

Here, Stress score and Anxiety score have been considered.

In SPSS, Pearson Correlation is found in Analyze > Correlate > Bivariate

Then, we will get ‘Bivariate Correlations’ dialog box. 

Add Stress score and Anxiety score in ‘Variables:’ box. Tick the ‘Pearson’ box in ‘Correlation Coefficients’ group.

Then, click on Ok.

Output of Pearson Correlation

We will get ‘Correlations’ table.

The table presents the Pearson Correlation coefficient, its value of significance and the sample size. 

Consider one of the highlighted cells (two cells are same) and find that the correlations in the main diagonal are equal to 1. This is because a variable is always correlated with itself perfectly.

Here, the Pearson Correlation coefficient is 0.786, it is statistically significant (p=0.000) and its sign is “+”. Therefore, the direction of the relationship is positive. 

Data: Pearson_Correlation_Data.sav

Write a comment

Your email address will not be published. Required fields are marked *