# Spearman Rank Correlation

Statistics Solutions provides a data analysis plan template for the Spearman Rank correlation analysis.  You can use this template to develop the data analysis section of your dissertation or research proposal.

The template includes research questions stated in statistical language, analysis justification and assumptions of the analysis.  Simply edit the blue text to reflect your research information and you will have the data analysis plan for your dissertation or research proposal.

Data Analysis Plan: Spearman Rank Correlation

Copy and paste the following into a word document to use as your data analysis plan template.

Research Question:

RQ: What is the relationship between variable 1 and variable 2?

Ho: There is no the relationship between variable 1 and variable 2.

Ha: There is a relationship between variable 1 and variable 2.

Data Analysis

To examine the research question, a Spearman Rank correlation will be conducted to assess if a relationship exists between variable 1 and variable 2.  Spearman Rank correlations are appropriate analyses when one or both variables are ordinal.  The correlation is a bivariate measure of association (or strength) of the relationship between two variables, and the magnitude of that relationship.  Correlation coefficients,rs, vary from 0 (no relationship) to 1 (perfect linear relationship) or -1 (perfect negative linear relationship).  Positive coefficients indicate a direct relationship; as one variable increases, the other variable also increases.  Negative correlations coefficients indicate an indirect relationship; as one variable increases, the other variable decreases.  As a nonparametric test, the assumptions of the Pearson correlation (including normality and homoscedasticity) do not apply to the Spearman correlation.

Reference