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Can Likert scale be normally distributed?
Likert scale data cannot be normally distributed. Its values are bound on the left and on the right. And it is discrete in nature. But, of course, nothing in real life is normally distributed.
Is Likert scale data parametric or nonparametric?
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].
Which scale type is used for non-parametric test?
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. However, some argue the other way round i.e. Likert scale should use non-parametric statistics e.g. Jamieson (2004).
Can a parametric test be used to analyze a Likert scale?
Now that many experts have weighed in on this debate, the conclusions are fairly clear: parametric tests can be used to analyze Likert scale responses. However, to describe the data, means are often of limited value unless the data follow a classic normal distribution and a frequency distribution of responses will likely be more helpful.
Is the Likert scale data treated as ordinal?
I think it is fair to say that Likert item data is generally treated as ordinal, and that Likert scale data is generally treated as interval. As suggested above, assumptions must be made in order to get from ordinal items to interval scales.
Which is an example of a 5 point Likert scale?
The 5 point likert scale ranges from 1 to 5 in order of response from very weak to very strong. Example is strongly disagree (1), disagree (2), some how agree (3), agree (4) and strongly agree (5) I would like to offer a perspective different from most of the previous answers.
Can a parametric test be used with nonnormal data?
Although, with a large enough sample, parametric tests are valid with nonnormal data. The 2-sample t-test is a parametric test. Nonparametric tests are accurate with ordinal dataand do not assume a normal distribution. However, there is a concern that nonparametric tests have a lower probability of detecting an effectthat actually exists.