I need some basic conceptual help.
When using models to check for association with psychometric scales such as the Lubben's social network scale or similar, would it ease interpretation if the dependent variable - the score on the scales - is coded as a standardized variable, that is in terms of a z-score?
Most of my independent variables are categorical. So for example, compared to a reference group of those currently married, I find that those who are separated/divorced have larger social networks (measured on a scale of 0-60) - going by the positive beta coefficient. But the reason I am thinking of using the social network scale as z-score values is so that I can say something a bit more meaningful - such as a larger social network which is larger by half a standard deviation. Or, for those with higher education, the social networks are larger - again would it benefit to know by how much in terms of SD rather than a number in the scale's range - which would not make much sense in and of itself.
What is recommended?