Results

Mixed Model

gamlj::gamljMixed(
    formula = happy ~ 1 + wealth + ideology + education + social_class + income + religion + sex2 + age + gdpppp3 + gini2+( 1 + wealth | V2 ),
    data = data,
    scaling=c(wealth = "clusterbasedcentered", ideology = "clusterbasedcentered", education = "clusterbasedcentered", social_class = "clusterbasedcentered", income = "clusterbasedcentered", religion = "clusterbasedcentered", sex2 = "clusterbasedcentered", age = "clusterbasedcentered", gdpppp3 = "centered", gini2 = "centered"))

Model Info
Info 
EstimateLinear mixed model fit by REML
Callhappy ~ 1 + wealth + ideology + education + social_class + income + religion + sex2 + age + gdpppp3 + gini2+( 1 + wealth | V2 )
AIC186062.254
BIC186298.011
LogLikel.-93067.921
R-squared MarginalNaN
R-squared ConditionalNaN
Convergedyes
Optimizerbobyqa
Note. R-squared cannot be computed.
[3]

 

Model Results

Fixed Effect Omnibus tests
 FNum dfDen dfp
wealth31.124133.984< .001
ideology26.551149504.782< .001
education193.079149490.793< .001
social_class16.148149491.291< .001
income78.805149501.618< .001
religion58.977149492.078< .001
sex212.827149483.774< .001
age603.573149485.680< .001
gdpppp32.229138.8370.143
gini22.031138.4920.162
Note. Satterthwaite method for degrees of freedom

 

Fixed Effects Parameter Estimates
95% Confidence Interval
NamesEstimateSELowerUpperdftp
(Intercept)2.3520.0942.1672.53639.09125.020< .001
wealth0.0760.0140.0490.10233.9845.579< .001
ideology0.0160.0030.0100.02349504.7825.153< .001
education-0.0510.004-0.058-0.04449490.793-13.895< .001
social_class-0.0350.009-0.052-0.01849491.291-4.018< .001
income0.0360.0040.0280.04449501.6188.877< .001
religion0.0680.0090.0510.08549492.0787.680< .001
sex2-0.0510.014-0.080-0.02349483.774-3.582< .001
age-0.0120.000-0.013-0.01149485.680-24.568< .001
gdpppp3-0.0000.000-0.0000.00038.837-1.4930.143
gini20.0160.011-0.0060.03738.4921.4250.162

 

Random Components
GroupsNameSDVarianceICC
V2(Intercept)0.6020.3620.127
 wealth0.0850.007 
Residual 1.5752.480 
Note. Number of Obs: 49574 , groups: V2 42

 

Random Parameters correlations
GroupsParam.1Param.2Corr.
V2(Intercept)wealth0.349

 

References

[1] The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).

[3] Gallucci, M. (2019). GAMLj: General analyses for linear models. [jamovi module]. Retrieved from https://gamlj.github.io/.