Hello Jelena. Have you seen this discussion thread started by David L Morgan?

• https://www.researchgate.net/post/How_can_one_help_people_create_simple_scales_from_Likert-scored_items

HTH.

You can perfor chi square tests to compare if two questions are related, or use ordinal regression models,non parametric tests etc.

You can perform ordinal regression in the Generalized Linear Models dialogoe of SPSS. If you have repeated measures, use Generalized Estimating Equations.

Hello Jelena. Have you seen this discussion thread started by David L Morgan?

• https://www.researchgate.net/post/How_can_one_help_people_create_simple_scales_from_Likert-scored_items

HTH.

Likert scale gives an ordinal outcome based on frequencies, therefore non parametric tests are applied, chi square can solve the problem else ordinal regression tests can be applied too on SPSS

Liket Scale data does not meet the parametric assumption regarding data characteristic. Thus you can only analyze it using non-parametric method such as Mann-Whitney, Kruskal-Wallis test, Sign-Test etc but not Anova Regression, t-test, F-test, Z-test etc.

Non-Parametric method is applicable since based on Frequencies.

I wonder if those who are proclaiming that parametric procedures must not be used are considering the important distinction Likert scales and Likert-type items.

• http://www.john-uebersax.com/stat/likert.htm

Only extremely conservative statisticians (in my view) would prohibit the use of parametric procedures when the DV is a true Likert scale. HTH.

I agree with Bruce Weaver, and think the Uebersax link is very instructive.

I'll also offer this paper, which I think presents a good discussion. http://ijcar.net/assets/pdf/Vol3-No2-February2016/02.pdf

It seems to me that Likert scales, composed of several Likert items, would need to be interval in nature. If the underlying Likert items were considered ordinal, then you wouldn't be able to sum their responses into a composite scale in the first place. You can't sum or average ordinal categories.

Hi,

You can watch this youtube clip 'how to analyze your likert scale data in SPSS'.

This the link: https://www.youtube.com/watch?v=mjzs4el-Vk0.

https://www.youtube.com/watch?v=S7LHzafAGgU

Typical Likert scale is a 5 or 7 point ordinal scale used by respondents to rate the degree to which they agree or disagree with a statement.

In an ordinal scale, responses can be rated or ranked, but the distance

between responses is not measurable. Thus, the differences between ‘‘always,’’ ‘‘often,’’ and ‘‘sometimes’’ on a frequency response Likert scale are not necessarily equal. In other words, one cannot assume that the difference between responses is equidistant even though the numbers

assigned to those responses are.

Non-parametric methods are widely used for studying populations that take on a ranked order.

In your case also, it's better to use Non-parametric methods like Spearman's rank correlation coefficient, Mann–Whitney U test, Kruskal–Wallis one-way analysis of variance etc.

@VenuPrasadHD, please see the responses by Bruce Weaver.

Thank you very much everyone. It was of great help for me.

You are welcome Jelena. One more suggestion for you.

You can read the attached file for your understanding and you enable to find answer for your question.

Field. A (2013) writes a proper method and way to analyze the data using Likert scale.

Thanks