Can you correlate two different scales?

1 Answer. Yes, it is perfectly valid to conduct a Pearson’s correlation between variables with different scales. The correlation coefficient is a standardized measure, so it is not influenced by scale.

Can you do correlation with unequal sample sizes?

The classic correlation coefficient is defined for paired observations. It is not defined for unpaired observations. If you have two variables with different sizes, they are not paired, and it is not possible to calculate the correlation coefficient of both variables.

How do you find the Pearson correlation between two variables?

The Pearson’s correlation coefficient is calculated as the covariance of the two variables divided by the product of the standard deviation of each data sample. It is the normalization of the covariance between the two variables to give an interpretable score.

Can you calculate a correlation if there is only one sample of data?

If we had data for the entire population, we could find the population correlation coefficient. But because we have only have sample data, we cannot calculate the population correlation coefficient. The sample correlation coefficient, r, is our estimate of the unknown population correlation coefficient.

Can I use Pearson correlation on Likert scale?

The 1-5 Likert-style (not Likert) rating can be used with Pearson correlation and generally will not differ too much from other options.

How do you compare two sets of data with different sample sizes?

One way to compare the two different size data sets is to divide the large set into an N number of equal size sets. The comparison can be based on absolute sum of of difference. THis will measure how many sets from the Nset are in close match with the single 4 sample set.

Can you compare two groups with different sample sizes?

Unequally sized groups are common in research and may be the result of simple randomization, planned differences in group size or study dropouts. Unequal sample sizes can lead to: Unequal variances between samples, which affects the assumption of equal variances in tests like ANOVA.

How do you find the correlation between two categorical variables?

To measure the relationship between numeric variable and categorical variable with > 2 levels you should use eta correlation (square root of the R2 of the multifactorial regression). If the categorical variable has 2 levels, point-biserial correlation is used (equivalent to the Pearson correlation).

What is the formula of Karl Pearson’s coefficient of correlation?

r=NσxσyΣxy.