LabWriteUp is a report writing application for students and researchers in science

 


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Pearson Correlation and Spearman Correlation

LabWriteUp deals with Spearman and Pearson correlations in similar ways. Once you have selected either of these tests the above window appears. Begin by entering the level of statistical significance obtained in the test and the number of participants.

You may enter a value (e.g., .034, or whatever value you obtained) or select one of the significance levels, ranging from 'p > .05' to 'p < .001'.

Click the 'Next' button to continue. When you do this the following window appears (Pearson example):

Enter the names of the variables and the nature of the association, choose from:
positive or linear - when the correlation is greater than zero (e.g., .124)
negative or inverse - when the correlation is less than zero (e.g., -.251)

The choice between positive or linear and negative or inverse depends upon how you wish to express the correlation (e.g., "there was a positive correlation between IQ and motivation" or "there was a linear relationship between IQ and motivation" - they both mean the same thing, though!).

When these selections have been made, click 'Save and Preview' to examine the textual description of the analysis. In this example the description is:

 

Next >> One Way Repeated Measures ANOVA

 

Pearson's r is a parametric correlation coefficient, Spearman's Rho is the nonparametric equivalent.