Contents
Is Likert scale ordinal or discrete?
the simple answer is that Likert is always ordinal but generally it depends on how you want to look at the data and what is your approach and assumptions about the results. you can also treat it as an interval scale. however, the scale is ordinal, the variable can be assumed or treated as continuous.
Can Likert scales 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.
Is Likert scale a categorical variable?
All Answers (16) Categorical for a likert scale as it is an ordinal variable. There is some debate on this topic as some people choose to see it as a continuous variable. For our survey analysis, we chose to treat it like an ordinal variable and used ordinal regression.
What makes a Likert scale an ordinal scale?
Individual Likert-type questions are generally considered ordinal data, because the items have clear rank order, but don’t have an even distribution. Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.
Is the Likert scale for continuous variable or nominal variable?
Structural Equation Modeling, 11, 514-534. Agreed with all the scholars above that there is ongoing debate whether the famous Likert scale is for categorical variable (nominal / ordinal scale) or should be for continuous variable (normally associate with ratio / interval scale).
How many categories can you answer on the Likert scale?
For example, adding together two Likert scales with 3 categories each results in 5 possible categories: a minimum score of 2 for those who answered with “1” on both questions, and a maximum of 6 for those who answered “3” on both.
Which is a variant of the ordinal scale?
Likert Scale – The Likert scale is a variant of the ordinal scale that is used to calculate customer or employee satisfaction. Understanding the socio-economic background of the target audience– Rich, middle class, poor etc. fall under the ordinal data category.