I have used a Big five personality scale and the demographics include, sex, age, marital status, employment status and education level.

Interaction was measured using 6 questions, such as 'how many brand pages have you liked in total', ' how many times per week do you comment on a brand pages post' etc.

So far I have done a pearsons correlation so I can see where the positive and negative correlations are.

Which statistical test would be best to use? I am using SPSS. I was thinking about doing a multiple regression but the only way I could do it is by doing 6 different ones for each D.V (interaction).

Thank you for any help :o ]]>

I performed a univariate analysis of a set of predictors. My plan was to include the significant predictors in a multivariate cox regression

There are good reasons to perform the analysis of these predictors as continuous as well as categorical variables (in 3 or 2 categories). . Now, you lose information when using a variable as categorical instead of continuous, so I would expect if a variable is not significant when analyzed as continuous it would most likely not be significant as categorical.

I'm planning 2 seperate multivariate analyses to build 2 models. One with the categorical variabels and one with the continuous predictors. However it's important to first exclude the same predictors after univariate analyses so I ll get the same dataset (after deleting the rows with missing values) for both analyses.

My results of the univariate analysis:

Well I have 1 significant predictor when analyzed continuously but not categorically. However I also have 3 predictors not significant continuously but significant categorically. Which predictors to include in my multivariate cox regression?

I did not find any information about how to deal with this situation?

Any experience with this? ]]>