Often people feel that since their data is qualitative it cannot accommodate statistical analysis. This is a fallacy. However, it is important before coming to an understanding of which tests are appropriate for your data to consider what types of data you are likely to generate. The resource Levels of Measurement, which is very sympathetic to learners with little statistical training, is a useful reference point for this purpose. Also, you can read more on this topic under About Variables and in section 3 of the paper General Scientific Premises of Measuring Complex Phenomena.
More specifically, frequently, researchers speak about the Likert scale as a means of rating questionnaire responses. Perhaps you are in the process of designing a questionnaire and would like to gain a better understanding of the notion of a Likert scale, in which case you are recommended to consult the resource Likert scale. This resource is very sympathetic to learners with little background (if at all) on the Likert scale.
Types of Response Data and Some Background to the Likert Scale by Margaret MacDougall is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
