Hi,

First, when having ordinal DV with 8 values you probably will get reasonable results also with the linear regression. (the recommended is still the

ordinal logistic regression) (

https://www.statisticalanalysisconsulting.com/how-to-analyze-likert-type-dependent-variables/)

I assume the

**ordered logit model **is - the

**ordinal logistic regression** uses the logit function (the logit is the Ln of the odds, the odds is the ratio: p/(1-p).

Anyway, I think that in both models you mentioned the DV is ordinal and both models get similar results. So both are Okay.

The IVs are preferable to be continuous like in a linear regression or using a dummy for categorical.

When the DV is categorical but not ordinal you should use multinomial logistic regression.