justifying modeling strategies Working in a social science field, I have a number of DVs in my paper, in my writing, I plan to justify my modeling (regression) strategies as follows:

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*For those one-item measurements on social issues stances ("The Federal government should allow illegal immigrants to become citizens, provided they meet certain requirements", strongly agree=1, strongly disagree =7), given the ordinal nature of the DV, we used ordered logit regression for modeling.


*We have also explored ordered probit models, but AIC indicates that the ordered logit models are superior.
Does this sound right to reviewers? I am hoping it does because for 2 key DVs only the ordered logit models show statistical significance, other models are only marginally significant.
Thanks!

First, I would suggest that you don't rely too much on statistical significance. Practical significance is more important. Second, as suggested in the comments, you will need to ensure that, if you decide to report p-values, that you adjust them for multiple testing.
