Hi guys, I could use some help interpreting my R Studio Output. I am doing an ordinal logistic regression and am struggling to interpret the output.
> model_fit <- polr(BerufKategorie~EA+EK+Alter+Geschlecht+ Motivation*EK +Motivation*EA, data = BAw, Hess = T)
> summary(model_fit)
Call:
polr(formula = BerufKategorie ~ EA + EK + Alter + Geschlecht +
Motivation * EK + Motivation * EA, data = BAw, Hess = T)
Coefficients:
Value Std. Error t value
EA -6.10712 4.17810 -1.4617
EK -1.98408 3.34476 -0.5932
Alter 0.01648 0.01065 1.5479
Geschlecht 0.25441 0.27454 0.9267
Motivation -1.68006 0.87583 -1.9182
EK:Motivation 0.56140 0.99528 0.5641
EA:Motivation 1.71133 1.21433 1.4093
Intercepts:
Value Std. Error t value
1|2 -5.8061 3.1396 -1.8493
2|3 -3.6051 3.1219 -1.1548
Residual Deviance: 411.282
AIC: 429.282
specific questions I have:
Is Value the b or the beta?
What exactly are the intercepts? 1, 2, and 3 are the categories of my independent variable, but I thought the intercept was the value when everything else is 0 so this doesn't make sense to me.
How do I get the confidence intervals and the R square from here?
I am an absolute beginner at this so I would appreciate someone explaining.
Thanks in advance.