# [Rstudio] Binary Logistic Regression - Interpretation

#### Klaus_Kleber

##### New Member
Hello all,

I am currently doing my master thesis and have difficulties fully understanding how to interpret the results of my binary logistic regression. The code and the plot of said code are attached. The plot is labelled in German, sorry for that.

Background info:

In Switzerland, almost all judges belong to a political party. I would like to analyze how this party political affiliation might influence the decisions judges take. Since my field of research is migration, I do this in looking at the decisions on asylum appeals.

My dependent variable is therefore the decision (coded 0 for rejected, 1 for accepted). My main independent variable is the party political affiliation; i.e. the party the judge belongs to. The party political affiliation is coded as categorical (i.e. actual party names). Furthermore, I have the control variables "Amtszeit" (duration in office) and "Geschlecht" (gender).

In the model, the reference party is a party called SVP. If I have understood it correctly, my results for the other parties are always compared to/in reference to the reference party.

If we take the comparison of the parties SVP and SP, the log(odds) is 0.498532. If I convert this into odds and probability, I receive 1.6463 for the odds and 0.6221 for the probability. Here's my question:

Do I interpret the data correctly when I say that a judge from the party SP is 62% more likely to accept an asylum appeal if compared to an SVP judge? Or more general, an asylum appeal is 62% more likely to be accepted if it is decided by an SP judge rather than an SVP judge?

#### hlsmith

##### Less is more. Stay pure. Stay poor.
You used multilevel model, so please clarify if results are clustered in judge, sample size, etc. Also, when reporting estimates include confidence intervals.