Hi everyone here, nowadays, I am stuck with this statistical analysis model. It would be great if someone could demonstrate how to design a model before any statistical analysis?
I think you mean to say the conceptual framework. If yes, then only read this answer further. A conceptual framework talks about the relationship between different variables in your study.
In my opinion, you should first identify the variables of your study and then form the model or framework.
First, you need to identify which are your independent and dependent, and how they influence each other. Then you can very easily make out what are the variables of your study.
There are 13 steps involved in designing a model for statistical analysis:
1. Write out research questions in theoretical and operational terms
2. Design the study or define the design
3. Choose the variables for answering research questions and determine their level of measurement
4. Write an analysis plan
5. Calculate sample size estimations
6. Collect, code, enter, and clean data
7. Create new variables
8. Run Univariate and Bivariate Statistics
9. Run an initial model
10. Refine predictors and check model fit
11. Test assumptions
12. Check for and resolve data issues
13. Interpret Results