These are data from the European Social Survey used to illustrate mixed effects, multilevel, or hierarchical regression models.
data("ess")A data frame with 49519 observations on the following 37 variables.
countrya character vector
can.trust.peoplea numeric vector
people.try.faira numeric vector
say.in.govta factor with levels Not at all Very little Some A lot A great deal
trust.legal.sysa numeric vector
trust.policea numeric vector
votea factor with levels Yes No Not eligible to vote
conservativea numeric vector
life.satisfactiona numeric vector
immigration.good.economya numeric vector
happya numeric vector
important.matters.peoplea character vector
walk.alone.darka factor with levels Very unsafe Unsafe Safe Very safe
religiousa numeric vector
ethnic.minoritya character vector
num.childrena numeric vector
ideal.age.parenta numeric vector
household.sizea numeric vector
gendera character vector
agea numeric vector
maritala character vector
educationa numeric vector
employmenta character vector
income.decilea numeric vector
father.educationa character vector
father.education.numa numeric vector
everyone.job.wanteda numeric vector
income.fairnessa factor with levels Low, extremely unfair Low, very unfair Low, somewhat unfair Low, slightly unfair Fair High, slightly unfair High, somewhat unfair High, very unfair High, extremely unfair
under.over.paida factor with levels Underpaid Right amount Overpaid
income.fairness.numa numeric vector
wealth.diff.faira factor with levels Small, extremely unfair Small, very unfair Small, somewhat unfair Small, slightly unfair Fair Large, slightly unfair Large, somewhat unfair Large, very unfair Large, extremely unfair
wealth.differencesa factor with levels Too little Just right Too much
gdpa numeric vector
urban.populationa numeric vector
unemploymenta numeric vector
alcolhol.consumptiona numeric vector
suicide.ratea numeric vector