Measurement norms tell you how an individual score compares to that of a normed sample that also completed the measure. For example, it would tell you that your score was in the top 10% compared to others who have taken the measure.
As the ARTIC Scale is a relatively new measure, we do NOT yet have norms. We plan on developing norms for the ARTIC but this takes time in the evolution of psychometric tool.
If you are administering the ARTIC Scale to a large number of respondents, it is possible to create local norms. So, for example, this would enable you to say that an individual’s score was in the top 10% compared to the 500 other school staff that took the ARTIC or a clinician’s score was in the top 10% compared to the 200 other clinicians in the mental health authority. You would need a skilled researcher to do this analysis.