1. There are some research studies perform bivariate analysis and input only those variables that are significant into their model. My question is why perform a bivariate correlation rather than a chi-square analysis? I have some variables that were shown to have some predictive power in prior research, however, there is no significant relationship for these variables in my bivariate correlation table. Under such circumstance, if I go ahead and use it in my regression model, will that cause my model to be invalid?

2. Do you have any recommendation on step-by-step guide for binary logistic regression assumptions testing on SPSS?

3. What will be other options if my sample contain multicollinearity?

I appreciate your help and time. Thank you.

Ting