Difficulty Formulating Hypothesis - Conflict Between Theoretical Model and Assignment Requirements
I am currently working on a project for my general linear models class.
The requirements of this section are as follows: "The problem should be stated in terms of causality where you are interested in the causal impact of ONE independent factor on ONE dependent variable, while keeping in mind your analysis will fall short of establishing causality." Additionally, the purpose of this project is to become familiar with multiple regression (OLS) and testing its assumptions to determine if it is a good model to use for the research question.
I already know that OLS regression is not the appropriate model to test what I am interested in, this is irrelevant as this project is for learning purposes.
Essentially, what I am trying to test is a theory that states that familial power relations (i.e. occupational status/prestige of the father vs. that of the mother, resulting in "balanced" and "unbalanced" families) when an individual is growing up is related to the gender distribution of perceived risk of victimization in adulthood.
Previous literature has repeatedly found that there is a gender gap between males and females average perceived risk of victimization, with females reporting significantly more.
Therefore, what I (if I were allowed to start with the model I would like to use) ideally am hypothesizing is "The relationship between gender and perceived risk of victimization should be reduced in 'balanced' family structures."
However, this is where I am struggling. I need to reformulate this idea into a hypothesis testing ONE independent variable (gender OR family structure) on the dependent variable (perceived risk of victimization).
I am just not sure how to do this, and nothing I have thought of seems sufficient. I know I am going to have to control for one of the two IV's, but is there a way to reflect this idea that I am interested in in a hypothesis that fits the assignments requirements?
PLEASE help :( & Thank you very much for your consideration!