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I am working to analyze how site specific attributes (water quality, closeness, wildlife, and size) affect people’s participation on freshwater recreation activities (boating, swimming, fishing, viewing, etc.). I have survey data and people expressed their views regarding the importance of site specific attributes in a scale from 0 to 3, with 0 - not important at all and 3 -most important. My data structure looks like:
I want to estimate which one attribute is most important and important for each of these activities. I am thinking to use logit/probit type model and control for site specific attributes. Do you think it is right way to estimate the model? I am bit confused since the responses on these site specific attributes are not binary, rather they are ordinal. I would great appreciate your response.