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Can a Likert Scale be nominal?
a likert scale could never be considered as nominal. it’s in the definition of any scale in the social sciences that their purpose is to measure and order something. so any scale has to be at least ordinal.
Can you use Pearson correlation on nominal data?
To do correlation between nominal variable and a scale, make sure the nominal is variable is dichotomy, then you can do point biserial correlation. When the nominal variable is more than 2 categories, correlation test violate the assumption of linearity. it is not the correct test.
Can Spearman’s correlation be used for nominal data?
Spearman correlations are suitable for all but nominal variables. However, when both variables are either metric or dichotomous, Pearson correlations are usually the better choice; Spearman correlations serve the exact same purposes as Kendall’s tau.
What is the difference between ordinal nominal and scale data?
Nominal scale is a naming scale, where variables are simply “named” or labeled, with no specific order. Ordinal scale has all its variables in a specific order, beyond just naming them. Interval scale offers labels, order, as well as, a specific interval between each of its variable options.
Can you use a correlation coefficient on a Likert scale?
You can’t use any correlation coefficient if you include “That’s not apply to may case” in the rating. 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 to calculate correlation between ordinal and nominal variables?
Ordinal vs. ordinal, you may consider Spearman’s correlation coefficient. ( Analyze > Bivariate) You’d need the check the box “Spearman” in order to get the statsitics. Nominal vs. nominal, probably a chi-square test.
How are correlations used for different types of data?
Both are continuous, but one has been artificially broken down into nominal values. Both are nominal and each has two values. Both are nominal and each has more than two values. Both are continuous, but each has been artificially broken down into two nominal values. Both are continuous and are used to detect curvilinear relationships.
Can a Pearson correlation be used for ordinal data?
The Pearson correlation shouldn’t be used for ordinal data. The Spearman r or Kendall’s tau are better choices. Spearman’s r will yield the same outcome if there are no tied scores. Thank you, Fergan! The standard procedures for creating scales from Likert-scored items typically consist of two choices.