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Your question does not exactly explain your point as in whether it has continuous outcome variables or not or whether the other variables are directly or indirectly related. Anyways, assuming that your research is based on continuous variables and that you are using the data which meets the parametric assumptions, I’d suggest you to implement the SPSS software and go with the factorial multivariate analysis for the variance. It is also known as factorial MANOVA and can be done directly with the help of software. I am sharing a few links below for reference so that you can understand the process step by step. https://www.youtube.com/watch?v=CPT3NO1zhlU https://sites.education.miami.edu/statsu/2020/10/26/steps-of-conducting-manova-in-spss/   I hope this helps.  

Dear Sanchit, in this case you need to follow a few steps. Let me simplify them below for you to have a clear understanding. First look into the individual variables. It is important to identify how those individual variables are measured and scaled. Are there any dimensions or sub dimensions involved in the process? If yes, then how many?  What is the number of questions or items involved in the questionnaire? Are the questions meant for close-ended, open-ended or mixed answers? Once you sort out these things and get your answers, you need to start cleaning and screening those answers to select only the relevant data collected from the survey. The questions need to be adjusted according to the data collection method in order to get the expected IV or DV measures from the collected data. Glad to help.  

It depends on the purpose of your survey and the research objectives. Also, with two variables it is still easy to develop a design but in case there are more dependent variables, I guess you need to study more in depth to avoid any complexity. Try consulting some experts for this, sharing more information about your ideologies and research information can be risky on public platforms.

Hello, I believe you are asking how to model the variation when there are two or more dependent variables in a single design. And that too, when the data and measures are taken from the survey approach. I have seen similar cases and research papers like this and thus, I will answer you on that basis. First, as Amrit has already suggested above, use the MANOVA technique for this. However, there is one condition that needs to be fulfilled for that and that is, both the variables must be correlated to a certain level. There is a book by the name, Introduction to Statistics and SPSS in Psychology. I hope it will help you. Now for the second part, surveys are considered effectively significant designs. However, it has been overused for decades now and because of that many academicians have pointed out some of the solutions to the issues that might occur through surveys. I am attaching a link below for the same, hoping it will help you. https://psycnet.apa.org/record/2003-08045-010 Good luck with your research.