Let`s look at what constitutes a Likert question, find examples, understand when to use this tool and see how to use it for your surveys. But as a general rule, in most of these scenarios, they should trust their old friend on the Likert scale, which focuses on the interviewees and keeps them satisfied with his simple and direct language. The 2-point Likert scale is the simplest example of the Likert scale, where there are only two Likert options, such as. B, and do not fit as two poles of scale. It is usually used to measure agreement. Here too, not all Likert scale sets can be used for quick measurement. The data must be thoroughly verified to meet the strict formal axioms of the model. However, the gross values are sufficient statistic for quick measurements, a deliberate decision of Georg Rasch, so if you agree to accept the gross values as valid, you can also accept the quick measures as valid. There are two main considerations in this discussion. First, Likert`s scales are arbitrary. The value assigned to a Likert element has no objective numerical basis, either in terms of measurement theory, or on the scale (from which a distance metric can be determined). The value assigned to each Likert element is simply determined by the researcher who designs the survey, who makes the decision on the basis of a desired detail. However, according to the convention, Likert items are generally attributed to whole progressive positive values.
Likert scales typically range from 2 to 10 – 3 or 5 are the most common.  In addition, this progressive scale structure is such that each consecutive Likert element is treated as an indication of a “better” response than the previous value. (This may vary in cases where the reverse order of the Likert scale is required). An important part of data analysis and presentation is the visualization (or representation) of the data. The theme of the presentation of Likert (and other) evaluation data is widely discussed in two documents by Robbins and Heiberger.  In the first, they recommend the use of stacked bar diagrams as different and compare them to other styles of plot. The second document describes the use of The Likert function in the HH package for R and gives many examples of its use. Likert scales can be distorted for several causes. Respondents can: The difference between a correct scale and a Likert scale is that Likert made the distinction between the underlying phenomenon that is verified and the means used to record variation.