Dear Rudo, one of the basic statistics you can adopt is a weighted average (divide the total number of points of an option by the number of respondents, and you will have the mean value) of each option. You can compare rankings between select groups of your interest and interpret the results.

Dear Srinivas, thank you so much for this. Let me attempt it immediately because I was using individual means and it was not working out.

You are welcome, dear Rudo. After computing the mean value for each option, based on the demographic profile of the respondents, your hypotheses, and more particularly methodology, you can advance statistical analysis. But before that let yourself know whether the raw data is normally distributed or non-normally distributed. Accordingly, you can decide whether non-parametric or parametric tests to be employed. Good luck!

Thank you so much Professor, I will check that, because when I proceeded to do so I did not get any results. Do you know of any textbooks that might give details on how to analyse this scale step by step?

• Mean Scores

This is the simplest way to analyze the constant-sum scale data. All you have to do is divide the total number of points of an option by the number of respondents, and you have the mean score.

• Proportion of Total Points/Percentages

This method provides a more nuanced understanding of how respondents rank the items. For example, if an item receives 20% of the total points, this means that it is twice as important as an item that receives 10% of the total points.

• Factor Analysis

This method groups response options into factors based on their correlations. It enables you to simplify the data and identify the underlying factors that drive respondents’ preferences.

• Regression Analysis

You can also model the interaction between the points assigned to one option (dependent variables) and the points assigned to oth

Thank you so much sir. I appreciate this truly