I have conducted a Profile (case 2) BWS survey. I am now estimating a latent class model with different scale factors for best and worst choices. I benefited from the examples and the previous discussions on this forum to run the model using Apollo.
My question is more about the interpretation of such results. The first four parameters are equivalent to ASC and interpreted as "attribute impact". What strikes me when comparing these parameters across the two classes is that they are suggesting the same ranking, but different "spread".
This brings me to a question on how to interpret these differences.
Given that I have only estimated the differences in scales between best and worst choices, and that these differences can be different between classes, can I say that the parameters of Pollution, Extraction, etc. are estimated using the same scale for class A and class B (making them comparable?)
The preliminary (and partial) results are showed in the following table. I did not want to burden everyone with the code, but I can share if needed.
Code: Select all
Esti Rob SE p (2-sided)
Pollu_A -2.901 0.830 0.000
Pollu_B -1.100 0.140 0.000
Extra_A -2.327 0.717 0.001
Extra_B -0.134 0.094 0.152
Infra_A 3.399 0.769 0.000
Infra_B 0.976 0.106 0.000
Insti_A 1.828 0.720 0.011
Insti_B 0.259 0.124 0.036
IF1_A -1.720 0.462 0.000
IF1_B -1.010 0.151 0.000
IF2_A 0.109 0.279 0.698
IF2_B 0.542 0.114 0.000
IF3_A 1.611 0.406 0.000
IF3_B 0.468 0.150 0.002
Sc worst_A 0.468 0.150 0.002
Sc worst_B 0.433 0.085 0.000
Thank you for any help.
Damien