# Comparing HB maxdiff results: same tasks & model, different samples

I have a question about comparing importance scores from HB analysis of 2 separate samples (A, B) completing same tasks, but models estimated separately.

Take the example of mean scores for items X & Z, with the HB scores scaled to sum to 100 in both cases:

•    For group A, the mean importance scores are X and Z
•    For group B, the mean importance scores are X and Z

My understanding is that I can argue that
1.    for A: X is 4 times more important than Z
2.    for B: X is 2 times more important than Z

What about comparisons between groups A and B?
Can I infer that:
3.    Z is more important for B than for A?
4.    Z is twice as important for B than for A?

Although in both samples/models the scores are scaled to sum to 100, the scale factor could be different in the 2 samples which suggests I can’t make comparisons 3 or 4 - I can compare ratios between models, but not absolute values. Or is that overly cautious?

Can anyone advise on (in)appropriate inference?

thanks
Dan
asked Aug 29, 2013

answered Aug 29, 2013 by Platinum (74,825 points)