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Is Likert scale parametric or non-parametric?
Parametric statistics are used with continuous, interval data that shows equality of intervals or differences. Non-parametric methods are applied to ordinal data, such as Likert scale data [1] involving the determination of “larger” or “smaller,” i.e., the ranking of data [2].
What data is used in parametric statistics?
Parametric statistics – require the assumption of a normal population or distribution. They are used with interval level and ratio data. Examples are: T-test which determines if the statistical difference between the mean scores of two groups is significant; and.
Can ANOVA be used for Likert scale data?
Yes, you can use ANOVA after obtaining summed up score of all statements (reverse the score of a statement according to positive or negative nature of the statement) of each individual of the group. It will give you variance within the group & between groups.
Can a parametric test be used with a Likert scale?
Parametric tests and Likert Scales (Ordinal data) – Two different views. Parametric statistics can be used with Likert data, with small sample sizes, with unequal variances, and with non-normal distributions, with no fear of ‘‘coming to the wrong conclusion’’. These findings are consistent with empirical literature dating back nearly 80 years.
When to use ordinal scale vs.likert scale?
Use parametric approach specially if your sample more than 30 individual. It is safer to treat Likert scale as ordinal scale. Ordinal data should be analysed using non-parametric tests. But in certain cases, e.g. scales which are sum of several Likert scales and medium to large N, you may be able to use parametric test without any concerns.
Can a Likert scale be used in a factor analysis?
A very common question is whether it is legitimate to use Likert scale data in parametric statistical procedures that require interval data, such as Linear Regression, ANOVA, and Factor Analysis. A typical Likert scale item has 5 to 11 points that indicate the degree of agreement with a statement, such as 1=Strongly Agree to 5=Strongly Disagree.
When to use parametric or non parametric statistics?
When your Dependent Variable (DV) is in ordinal scale e.g. Likert scale, you should use non-parametric statistics. When your DV is in interval / ratio scale, you can use parametric statistics. Some scholars still debating Likert scale can be treated as interval scale & hence handled by parametric statistics e.g.