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What's your experience and explanation. In conducting logistic regression analysis, a variable may be significant in a selected context/model. If it is supected that there may be some intercation with another variable in the model, an intercation term can be entered. If on entering the interaction term (maintaining the main effects) that variable loses its significance and the interaction term is also not significant - how is this explained (partial?) Also, with SPSS, the dialogue box allows for a correlation output matrix with logistic regression. What type of correlation is this and what exactly does it say (I thought it allowed to check for multicollinearity). I obserbed that for two variables (interval scale) used in this model the coefficient was -8.8 and when I checked the pearson correlation coefficient for those two variables by themselves the coefficient was .47 (sig). How can this be explained. Thank you %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%