Basic concepts to effectively utilize rating scales
To make the data collection process through ratings effective, a very general understanding of ratings scales will be beneficial. Also, dealing with cognitive information is tricky on many occasions so it’s always a good idea to segregate the information into different categories.
First, we can divide the ways to capture data into four different statistical measurement scales. These scales define the kind of data being captured. The four scales are Nominal, Ordinal, Interval, and Ratio. The choice of levels is purely up to the user and the kind of information the designer wants to gather. Click here for more details.
Furthermore, there are other considerations which we should take into account while working with rating scale measures. The most important one among them is that an individual item is not a measure of the overall interest. At the same time, a group measure will not necessarily convey information regarding the individual level. Another question which arises is whether data is continues or discrete. Rating scales with numerical inputs which can also be considered as a continuous data if the number of categories is high. In rating scale, the number of categories plays a role in the way the user responds. For example, rating response with less categories (less than 4) creates a biased responses from the users, and the responses may appear in intervals.
If you are planning to dive deep with the ratings data, a statistical validation always is a good idea to investigate concepts and modelling strategies like analysis of covariance, linear regression, or the basic ANOVA. Elaborated descriptions about the usage data types like nominal, ordinal, scale, interval, are beyond the scope of this blog, as this is a mere introduction to advanced use case of the new form field addition to our product WriteBackExtreme 1.4.
Curious to know more? Learn how to create a feedback form in WriteBackExtreme in this tutorial! Would you like to hear more about the WriteBackExtreme extension and its features or do you need support related to building similar studies/use cases? Visit our WriteBackExtreme page!