A subset of the German General Social Survey (ALLBUS) 2018 containing its trust items (F018).
trust
Participants were asked about their trust in public institutions and organizations. `1` means they have absolutely no trust at all, whereas `7` represents a great deal of trust. The data frame has 3477 rows and 13 variables:
Health service
German constitutional court
German Parliament
Municipal administration
Judicial system
Television
Newspapers
Universities and other institutes of higher education
German government
Police
Political parties
European Commission
European Parliament
Please note that in comparison to the original data set participant order has been randomly rearranged to further ensure anonymity. This might lead to differences when trying to reproduce the results of the analysis with the original data set (mentioned below).
GESIS - Leibniz-Institut für Sozialwissenschaften (2019). German General Social Survey - ALLBUS 2018. GESIS Datenarchiv, Köln. ZA5272 Datenfile Version 1.0.0, https://doi.org/10.4232/1.13325.
#> $scl_1 #> mrit rbar alpha #> eupalmnt, eucomisn 0.92 0.92 0.96 #> polpati 0.64 0.72 0.89 #> fedgovt 0.68 0.67 0.89 #> bundtag 0.70 0.64 0.90 #> judsyst 0.58 0.59 0.90 #> fccourt 0.58 0.55 0.90 #> police 0.52 0.52 0.90 #> newsppr 0.52 0.49 0.90 #> tv 0.52 0.47 0.90 #> uni 0.49 0.45 0.90 #> munadmin 0.47 0.43 0.90 #> healserv 0.42 0.40 0.90 #>