Spearman’s Rho
difference between
two rank numbers
Step by Step: Sum of
1. State the alternate hypothesis -
either one tailed or two tailed.
2. Place the raw data in the table
and do the calculations.
3. find the calculated value of rho.
4. is the result in the right
direction?
number of participants
5. find the critical value of rho.
6. state the conclusion.
Spearman's Rho is used to
understand the strength of the
relationship between two variables.
Your variables of interest can be
continuous or ordinal and should
have a monotonic relationship.
Spearman's rank correlation
measures the strength and direction
of association between two ranked
variables.
Spearman's rho is a non-
parametric statistical test of
correlation that allows a researcher
to determine the significance of their
investigation. It is used in studies
that are looking for a relationship,
where the data is at least ordinal.
When there is no tendency for two
variables to change in tandem, both
Spearman's and Pearson's will be
close to zero, indicating no
relationship.
observed > critical
for it to be significant
difference between
two rank numbers
Step by Step: Sum of
1. State the alternate hypothesis -
either one tailed or two tailed.
2. Place the raw data in the table
and do the calculations.
3. find the calculated value of rho.
4. is the result in the right
direction?
number of participants
5. find the critical value of rho.
6. state the conclusion.
Spearman's Rho is used to
understand the strength of the
relationship between two variables.
Your variables of interest can be
continuous or ordinal and should
have a monotonic relationship.
Spearman's rank correlation
measures the strength and direction
of association between two ranked
variables.
Spearman's rho is a non-
parametric statistical test of
correlation that allows a researcher
to determine the significance of their
investigation. It is used in studies
that are looking for a relationship,
where the data is at least ordinal.
When there is no tendency for two
variables to change in tandem, both
Spearman's and Pearson's will be
close to zero, indicating no
relationship.
observed > critical
for it to be significant
