Hi there,

for my research i have performed a repeated measures ordinal logistic regression:

Ordinal variable(value): 0, 1, 2, 3

time(variable): t0, t1

Group: IG, CG

Thats my code:

```
> Call:
> polr(formula = as.factor(value) ~ variable * as.factor(group),
> data = Ordinaldf, Hess = TRUE)
>
> Coefficients:
> Value Std. Error t value
> variableweighting_t1 0.577 0.2381 2.424
> as.factor(group)IG -1.099 0.2296 -4.787
> variableweighting_t1:as.factor(group)IG 1.394 0.3158 4.416
>
> Intercepts:
> Value Std. Error t value
> unknown|know from seeing -0.3083 0.1699 -1.8146
> know from seeing|known 1.9679 0.1923 10.2324
> known|friend 3.2828 0.2453 13.3827
>
> Residual Deviance: 1324.547
> AIC: 1336.547
```

AND

```
z test of coefficients:
Estimate Std. Error z value Pr(>|z|)
variableweighting_t1 0.57703 0.23805 2.4240 0.01535 *
as.factor(group)IG -1.09929 0.22963 -4.7872 1.692e-06 ***
variableweighting_t1:as.factor(group)IG 1.39448 0.31576 4.4163 1.004e-05 ***
unknown|know from seeing -0.30832 0.16991 -1.8146 0.06958 .
know from seeing|known 1.96793 0.19232 10.2324 < 2.2e-16 ***
known|friend 3.28275 0.24530 13.3827 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
```

I am a little bit confused why the Estimate for Group is negative. Can anyone give me please an explanation for this result. Or maybe an interpretation of the output.

Thank you very much in advance.

Michael