I am not sure if I should run MONOVA or some other test? I have collected data from two different sample groups. I have one categorical and two continuous dependent variables + one categorical independent variable. Because of the continuous dependent variables, I'm not too sure about using MANOVA. Would appreciate your help in this regard. Thanks in advance.

Edit: Details of the study: I'm sorry for not including all the information before. It's a netnographic study which will include analysis of 1000 different posts from two online communities. The independent variable is anonymity/non-anonymity of the community which is a categorical variable yes/no (At least that's what I think but I can be wrong, let me know if I am), the dependent variables are consumption(No. of followers in each community - 38,000 and 123,000 - I think this is also categorical?), contribution(no. of comments and likes on each post - continuous variable), and creation(whether the post in their own or forwarded from somewhere - 2 options yes/no so this is also categorical?). I want to check the effect of anonymity on each of the dependent variables and all of them together.

Edit: Details of the study: I'm sorry for not including all the information before. It's a netnographic study which will include analysis of 1000 different posts from two online communities. The independent variable is anonymity/non-anonymity of the community which is a categorical variable yes/no (At least that's what I think but I can be wrong, let me know if I am), the dependent variables are consumption(No. of followers in each community - 38,000 and 123,000 - I think this is also categorical?), contribution(no. of comments and likes on each post - continuous variable), and creation(whether the post in their own or forwarded from somewhere - 2 options yes/no so this is also categorical?). I want to check the effect of anonymity on each of the dependent variables and all of them together.

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