Hi,

This is the first time I use `sratio()`

with `cs()`

. Three of my predictors are of type ordered categorical with four levels but when I check with `summary()`

I see five parameters (`b_val`

is one of the ordered categorical variables):

```
b_val.L[1] 0.30 0.06 0.19 0.41 1.00 19734 7825
b_val.L[2] -0.05 0.06 -0.17 0.06 1.00 18618 8281
b_val.L[3] 0.22 0.07 0.09 0.35 1.00 19817 7319
b_val.L[4] -0.12 0.08 -0.27 0.03 1.00 23470 7530
b_val.L[5] -0.06 0.09 -0.24 0.12 1.00 22062 7429
```

@paul.buerkner and Vuorre write in their paper *Ordinal Regression Models in Psychology: A Tutorial*:

â€¦ one can model predictors as having category specific effects so that not one but K coefficients are estimatedâ€¦

but I canâ€™t seem to find an explanation on how to interpret the parameters above. Any input much appreciated since this is the first time I use `cs()`

!