2004
\(\nu_0 = 3\), \(\kappa_0 = 0.3\)
Modellübersicht
## BEFA - Bayesian Exploratory Factor Analysis
## Summary of posterior results
##
## Maximum number of factors (Kmax) = 2
## Identification restriction (Nid) = 2
##
## MCMC iterations = 60000
## burn-in period = 6000
##
## Metropolis-Hastings acceptance rate = 1
##
## Posterior frequency of number of latent factors:
## K = 2 100.00%
##
## -----------------------------------------------------------------
## Model parameters
##
## Factor loadings:
##
## dedic prob mean sd [ 95% hpd ]
## alpha:trstplt 1 1 0.902 0.013 0.877 0.928
## alpha:trstprt 1 1 0.883 0.013 0.857 0.909
## alpha:trstprl 1 1 0.811 0.013 0.787 0.836
## alpha:trstplc 2 1 0.695 0.013 0.670 0.720
## alpha:trstlgl 2 1 0.817 0.013 0.792 0.843
##
## Idiosyncratic variances:
##
## mean sd [ 95% hpd ]
## sigma:trstplt 0.335 0.011 0.314 0.357
## sigma:trstprt 0.379 0.011 0.357 0.402
## sigma:trstprl 0.445 0.011 0.424 0.467
## sigma:trstplc 0.570 0.013 0.545 0.595
## sigma:trstlgl 0.450 0.012 0.427 0.474
##
## Factor correlation matrix:
##
## mean sd [ 95% hpd ]
## R:1:2 0.814 0.009 0.796 0.832Trace-Plot
Trace-Plot: BEFA 2004
Autokorrelation-Plot
Autokorrelation-Plot: BEFA 2004
\(\nu_0 = 3\), \(\kappa_0 = 0.5\)
Modellübersicht
## BEFA - Bayesian Exploratory Factor Analysis
## Summary of posterior results
##
## Maximum number of factors (Kmax) = 2
## Identification restriction (Nid) = 2
##
## MCMC iterations = 60000
## burn-in period = 6000
##
## Metropolis-Hastings acceptance rate = 1
##
## Posterior frequency of number of latent factors:
## K = 2 100.00%
##
## -----------------------------------------------------------------
## Model parameters
##
## Factor loadings:
##
## dedic prob mean sd [ 95% hpd ]
## alpha:trstplt 1 1 0.902 0.013 0.877 0.928
## alpha:trstprt 1 1 0.883 0.013 0.858 0.909
## alpha:trstprl 1 1 0.811 0.012 0.786 0.835
## alpha:trstplc 2 1 0.695 0.013 0.671 0.721
## alpha:trstlgl 2 1 0.817 0.013 0.791 0.842
##
## Idiosyncratic variances:
##
## mean sd [ 95% hpd ]
## sigma:trstplt 0.335 0.011 0.313 0.356
## sigma:trstprt 0.379 0.011 0.357 0.402
## sigma:trstprl 0.445 0.011 0.424 0.466
## sigma:trstplc 0.570 0.013 0.545 0.595
## sigma:trstlgl 0.450 0.012 0.427 0.474
##
## Factor correlation matrix:
##
## mean sd [ 95% hpd ]
## R:1:2 0.814 0.009 0.796 0.832Trace-Plot
Trace-Plot: BEFA 2004
Autokorrelation-Plot
Autokorrelation-Plot: BEFA 2004
\(\nu_0 = 3\), \(\kappa_0 = 0.7\)
Modellübersicht
## BEFA - Bayesian Exploratory Factor Analysis
## Summary of posterior results
##
## Maximum number of factors (Kmax) = 2
## Identification restriction (Nid) = 2
##
## MCMC iterations = 50000
## burn-in period = 5000
##
## Metropolis-Hastings acceptance rate = 1
##
## Posterior frequency of number of latent factors:
## K = 2 100.00%
##
## -----------------------------------------------------------------
## Model parameters
##
## Factor loadings:
##
## dedic prob mean sd [ 95% hpd ]
## alpha:trstplt 1 1 0.902 0.013 0.878 0.929
## alpha:trstprt 1 1 0.883 0.013 0.857 0.909
## alpha:trstprl 1 1 0.811 0.013 0.787 0.836
## alpha:trstplc 2 1 0.696 0.013 0.670 0.720
## alpha:trstlgl 2 1 0.817 0.013 0.791 0.842
##
## Idiosyncratic variances:
##
## mean sd [ 95% hpd ]
## sigma:trstplt 0.335 0.011 0.313 0.356
## sigma:trstprt 0.379 0.011 0.357 0.401
## sigma:trstprl 0.446 0.011 0.424 0.467
## sigma:trstplc 0.570 0.013 0.546 0.596
## sigma:trstlgl 0.450 0.012 0.427 0.474
##
## Factor correlation matrix:
##
## mean sd [ 95% hpd ]
## R:1:2 0.814 0.009 0.796 0.832Trace-Plot
Trace-Plot: BEFA 2004
Autokorrelation-Plot
Autokorrelation-Plot: BEFA 2004
\(\nu_0 = 3\), \(\kappa_0 = 0.9\)
Modellübersicht
## BEFA - Bayesian Exploratory Factor Analysis
## Summary of posterior results
##
## Maximum number of factors (Kmax) = 2
## Identification restriction (Nid) = 2
##
## MCMC iterations = 90000
## burn-in period = 9000
##
## Metropolis-Hastings acceptance rate = 1
##
## Posterior frequency of number of latent factors:
## K = 2 100.00%
##
## -----------------------------------------------------------------
## Model parameters
##
## Factor loadings:
##
## dedic prob mean sd [ 95% hpd ]
## alpha:trstplt 1 1 0.902 0.013 0.877 0.928
## alpha:trstprt 1 1 0.883 0.013 0.857 0.909
## alpha:trstprl 1 1 0.811 0.012 0.787 0.836
## alpha:trstplc 2 1 0.695 0.013 0.670 0.720
## alpha:trstlgl 2 1 0.817 0.013 0.791 0.842
##
## Idiosyncratic variances:
##
## mean sd [ 95% hpd ]
## sigma:trstplt 0.335 0.011 0.314 0.357
## sigma:trstprt 0.379 0.011 0.357 0.402
## sigma:trstprl 0.445 0.011 0.424 0.467
## sigma:trstplc 0.570 0.013 0.545 0.595
## sigma:trstlgl 0.450 0.012 0.427 0.474
##
## Factor correlation matrix:
##
## mean sd [ 95% hpd ]
## R:1:2 0.814 0.009 0.796 0.832Trace-Plot
Trace-Plot: BEFA 2004
Autokorrelation-Plot
Autokorrelation-Plot: BEFA 2004
Copyright: 
Benedikt Philipp Kleer, 2022 (Online-Appendix zur Promotion, eingereicht am 14. September 2022, Fachbereich 03, Justus-Liebig-Universität Gießen).