## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2)
## Data: cee18 (Number of observations: 4680)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.56 0.09 0.41 0.77 1.00 19417 22993
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 4.43 0.12 4.20 4.66 1.00 14631 21346
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 2.05 0.02 2.01 2.09 1.00 30251 28750
## nu 83.77 21.89 49.04 134.03 1.00 29542 28850
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec
## Data: cee18 (Number of observations: 4680)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.58 0.09 0.43 0.79 1.00 16002 23232
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 4.40 0.12 4.16 4.64 1.00 11611 17124
## stfdemc 0.97 0.07 0.84 1.11 1.00 30437 29342
## stfgovc 1.39 0.07 1.25 1.53 1.00 28165 28859
## outcomec 0.54 0.07 0.41 0.67 1.00 29346 29467
## stfdemc:stfgovc 0.09 0.11 -0.13 0.31 1.00 28286 28865
## stfgovc:outcomec -0.05 0.11 -0.26 0.16 1.00 28262 29177
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.50 0.03 1.45 1.56 1.00 29091 29126
## nu 9.20 1.18 7.26 11.84 1.00 28664 28610
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
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Trace-Plot
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Trace-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec + ageac + gndr + class5 + eduyrsc + hincfel2 + hincsrca2 + socialist + votgov
## Data: cee18 (Number of observations: 4680)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.58 0.09 0.43 0.78 1.00 17387 24462
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept 4.48 0.16 4.17 4.79 1.00
## stfdemc 0.97 0.07 0.84 1.10 1.00
## stfgovc 1.37 0.08 1.22 1.52 1.00
## outcomec 0.50 0.07 0.36 0.63 1.00
## ageac 0.30 0.13 0.03 0.56 1.00
## gndrfemale -0.03 0.05 -0.12 0.07 1.00
## class5LowerMgradeserviceclass 0.12 0.09 -0.06 0.29 1.00
## class5Smallbusinessowners -0.17 0.10 -0.37 0.02 1.00
## class5Skilledworkers -0.01 0.08 -0.16 0.14 1.00
## class5Unskilledworkers -0.10 0.09 -0.28 0.09 1.00
## eduyrsc 0.19 0.06 0.08 0.31 1.00
## hincfel2good 0.07 0.06 -0.04 0.19 1.00
## hincsrca2stateaid 0.09 0.08 -0.07 0.24 1.00
## socialistoldsocialist -0.35 0.13 -0.61 -0.09 1.00
## socialistsocialist -0.16 0.09 -0.34 0.02 1.00
## votgovvoted 0.13 0.06 0.00 0.25 1.00
## stfdemc:stfgovc 0.07 0.11 -0.15 0.29 1.00
## stfgovc:outcomec -0.06 0.11 -0.27 0.15 1.00
## Bulk_ESS Tail_ESS
## Intercept 15981 23787
## stfdemc 29677 30138
## stfgovc 29989 29596
## outcomec 29450 29092
## ageac 27279 28577
## gndrfemale 29973 29466
## class5LowerMgradeserviceclass 26993 28578
## class5Smallbusinessowners 26838 28661
## class5Skilledworkers 25804 26850
## class5Unskilledworkers 25674 27768
## eduyrsc 28700 28992
## hincfel2good 29249 29453
## hincsrca2stateaid 29597 29757
## socialistoldsocialist 27347 28285
## socialistsocialist 27528 28533
## votgovvoted 28691 28519
## stfdemc:stfgovc 29703 28669
## stfgovc:outcomec 29581 29237
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.50 0.03 1.45 1.55 1.00 29950 29472
## nu 9.32 1.22 7.33 12.11 1.00 29319 29052
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec + ageac + gndr + class5 + eduyrsc + hincfel2 + hincsrca2 + socialist + votgov + ppltrstc + gincdifc + freehmsc + ipeqoptc + impfreec
## Data: cee18 (Number of observations: 4680)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.57 0.09 0.43 0.79 1.00 17517 24415
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept 4.40 0.16 4.09 4.71 1.00
## stfdemc 0.93 0.07 0.80 1.06 1.00
## stfgovc 1.32 0.07 1.17 1.46 1.00
## outcomec 0.40 0.07 0.27 0.53 1.00
## ageac 0.27 0.13 0.01 0.53 1.00
## gndrfemale -0.01 0.05 -0.11 0.08 1.00
## class5LowerMgradeserviceclass 0.11 0.09 -0.06 0.28 1.00
## class5Smallbusinessowners -0.10 0.10 -0.30 0.09 1.00
## class5Skilledworkers 0.02 0.08 -0.13 0.17 1.00
## class5Unskilledworkers -0.06 0.09 -0.23 0.12 1.00
## eduyrsc 0.16 0.06 0.05 0.27 1.00
## hincfel2good 0.07 0.06 -0.05 0.18 1.00
## hincsrca2stateaid 0.13 0.08 -0.03 0.28 1.00
## socialistoldsocialist -0.34 0.13 -0.59 -0.08 1.00
## socialistsocialist -0.15 0.09 -0.33 0.03 1.00
## votgovvoted 0.18 0.06 0.06 0.30 1.00
## ppltrstc 0.70 0.05 0.60 0.80 1.00
## gincdifc -0.04 0.05 -0.13 0.06 1.00
## freehmsc -0.06 0.05 -0.15 0.04 1.00
## ipeqoptc 0.10 0.05 0.00 0.20 1.00
## impfreec -0.12 0.05 -0.22 -0.02 1.00
## stfdemc:stfgovc 0.02 0.11 -0.20 0.24 1.00
## stfgovc:outcomec 0.02 0.11 -0.18 0.23 1.00
## Bulk_ESS Tail_ESS
## Intercept 17340 23325
## stfdemc 29943 28630
## stfgovc 29137 28616
## outcomec 29595 29165
## ageac 27529 29230
## gndrfemale 29984 29396
## class5LowerMgradeserviceclass 27409 29313
## class5Smallbusinessowners 28556 28963
## class5Skilledworkers 27668 28683
## class5Unskilledworkers 27989 29083
## eduyrsc 28860 29473
## hincfel2good 28844 28409
## hincsrca2stateaid 29277 29413
## socialistoldsocialist 27578 28093
## socialistsocialist 26584 29050
## votgovvoted 29106 29349
## ppltrstc 29692 28595
## gincdifc 28740 27552
## freehmsc 29934 29507
## ipeqoptc 28745 30265
## impfreec 29526 29015
## stfdemc:stfgovc 29504 29084
## stfgovc:outcomec 29749 28628
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.46 0.03 1.41 1.51 1.00 29247 29167
## nu 8.80 1.07 7.01 11.17 1.00 28753 29272
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
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Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec + ageac + gndr + class5 + eduyrsc + hincfel2 + hincsrca2 + socialist + votgov + ppltrstc + gincdifc + freehmsc + ipeqoptc + impfreec + rankgm + neggm + gincdifgm + impfreegm + ipeqoptgm
## Data: cee18 (Number of observations: 4680)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.40 0.08 0.27 0.57 1.00 23628 28102
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept 4.43 0.13 4.17 4.69 1.00
## stfdemc 0.92 0.07 0.79 1.06 1.00
## stfgovc 1.32 0.07 1.18 1.46 1.00
## outcomec 0.40 0.07 0.27 0.53 1.00
## ageac 0.25 0.13 -0.01 0.51 1.00
## gndrfemale -0.01 0.05 -0.11 0.08 1.00
## class5LowerMgradeserviceclass 0.11 0.09 -0.06 0.27 1.00
## class5Smallbusinessowners -0.11 0.10 -0.31 0.09 1.00
## class5Skilledworkers 0.01 0.08 -0.14 0.17 1.00
## class5Unskilledworkers -0.06 0.09 -0.24 0.12 1.00
## eduyrsc 0.16 0.06 0.05 0.27 1.00
## hincfel2good 0.07 0.06 -0.05 0.18 1.00
## hincsrca2stateaid 0.13 0.08 -0.02 0.28 1.00
## socialistoldsocialist -0.32 0.13 -0.58 -0.07 1.00
## socialistsocialist -0.14 0.09 -0.32 0.04 1.00
## votgovvoted 0.18 0.06 0.06 0.30 1.00
## ppltrstc 0.70 0.05 0.60 0.80 1.00
## gincdifc -0.04 0.05 -0.13 0.06 1.00
## freehmsc -0.06 0.05 -0.15 0.04 1.00
## ipeqoptc 0.10 0.05 0.00 0.20 1.00
## impfreec -0.12 0.05 -0.22 -0.01 1.00
## rankgm 0.01 0.18 -0.35 0.38 1.00
## neggm -0.62 0.24 -1.10 -0.14 1.00
## gincdifgm 0.57 0.26 0.05 1.08 1.00
## impfreegm -0.05 0.20 -0.44 0.34 1.00
## ipeqoptgm -0.62 0.22 -1.04 -0.18 1.00
## stfdemc:stfgovc 0.02 0.11 -0.19 0.24 1.00
## stfgovc:outcomec 0.02 0.11 -0.18 0.23 1.00
## Bulk_ESS Tail_ESS
## Intercept 29272 28664
## stfdemc 30115 29134
## stfgovc 29926 28114
## outcomec 29129 29799
## ageac 30643 29217
## gndrfemale 29727 28774
## class5LowerMgradeserviceclass 29535 30020
## class5Smallbusinessowners 29927 29490
## class5Skilledworkers 28038 29218
## class5Unskilledworkers 28683 29637
## eduyrsc 29828 29246
## hincfel2good 29739 28900
## hincsrca2stateaid 30111 29112
## socialistoldsocialist 30209 30138
## socialistsocialist 30111 29393
## votgovvoted 30036 27921
## ppltrstc 28932 29189
## gincdifc 29833 29050
## freehmsc 29912 28976
## ipeqoptc 29862 29350
## impfreec 30468 29391
## rankgm 29171 29315
## neggm 28458 28798
## gincdifgm 29065 29022
## impfreegm 28436 28169
## ipeqoptgm 29469 29515
## stfdemc:stfgovc 28809 28013
## stfgovc:outcomec 28964 29780
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.46 0.03 1.41 1.51 1.00 30057 29352
## nu 8.69 1.04 6.96 11.02 1.00 29861 28177
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
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Trace-Plot
Trace-Plot
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Trace-Plot
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Trace-Plot
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Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec + ageac + gndr + class5 + eduyrsc + hincfel2 + hincsrca2 + socialist + votgov + ppltrstc + gincdifc + freehmsc + ipeqoptc + impfreec + gdpngm + uergm + yempgm + hhincgm + neggm + gincdifgm + impfreegm + ipeqoptgm
## Data: cee18 (Number of observations: 4680)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.43 0.09 0.29 0.64 1.00 24473 26865
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept 4.43 0.14 4.16 4.70 1.00
## stfdemc 0.92 0.07 0.79 1.05 1.00
## stfgovc 1.32 0.07 1.18 1.46 1.00
## outcomec 0.40 0.07 0.27 0.53 1.00
## ageac 0.25 0.13 -0.01 0.51 1.00
## gndrfemale -0.01 0.05 -0.11 0.08 1.00
## class5LowerMgradeserviceclass 0.11 0.09 -0.06 0.27 1.00
## class5Smallbusinessowners -0.11 0.10 -0.30 0.09 1.00
## class5Skilledworkers 0.01 0.08 -0.14 0.16 1.00
## class5Unskilledworkers -0.06 0.09 -0.24 0.12 1.00
## eduyrsc 0.16 0.06 0.05 0.27 1.00
## hincfel2good 0.07 0.06 -0.05 0.18 1.00
## hincsrca2stateaid 0.13 0.08 -0.02 0.28 1.00
## socialistoldsocialist -0.32 0.13 -0.58 -0.07 1.00
## socialistsocialist -0.14 0.09 -0.32 0.04 1.00
## votgovvoted 0.18 0.06 0.06 0.30 1.00
## ppltrstc 0.70 0.05 0.60 0.80 1.00
## gincdifc -0.04 0.05 -0.13 0.06 1.00
## freehmsc -0.06 0.05 -0.15 0.04 1.00
## ipeqoptc 0.10 0.05 0.00 0.20 1.00
## impfreec -0.12 0.05 -0.22 -0.01 1.00
## gdpngm -0.08 0.23 -0.53 0.37 1.00
## uergm 0.10 0.37 -0.63 0.83 1.00
## yempgm -0.19 0.41 -0.99 0.63 1.00
## hhincgm 0.04 0.26 -0.47 0.55 1.00
## neggm -0.58 0.28 -1.14 -0.02 1.00
## gincdifgm 0.53 0.30 -0.05 1.12 1.00
## impfreegm -0.07 0.22 -0.52 0.36 1.00
## ipeqoptgm -0.62 0.24 -1.10 -0.14 1.00
## stfdemc:stfgovc 0.02 0.11 -0.20 0.24 1.00
## stfgovc:outcomec 0.02 0.11 -0.18 0.23 1.00
## Bulk_ESS Tail_ESS
## Intercept 29389 29523
## stfdemc 29569 28953
## stfgovc 29966 29387
## outcomec 29722 29211
## ageac 30311 29218
## gndrfemale 30046 27006
## class5LowerMgradeserviceclass 29796 29345
## class5Smallbusinessowners 29137 29438
## class5Skilledworkers 29331 29309
## class5Unskilledworkers 29748 29596
## eduyrsc 27934 28329
## hincfel2good 28965 28018
## hincsrca2stateaid 29246 28715
## socialistoldsocialist 29350 29111
## socialistsocialist 29597 28681
## votgovvoted 28594 29343
## ppltrstc 29095 28526
## gincdifc 28928 28349
## freehmsc 28946 28918
## ipeqoptc 29233 29008
## impfreec 29654 28377
## gdpngm 29469 29637
## uergm 28862 29008
## yempgm 28712 28677
## hhincgm 29614 28246
## neggm 28703 28602
## gincdifgm 28575 28439
## impfreegm 29236 29418
## ipeqoptgm 28318 29030
## stfdemc:stfgovc 29797 28175
## stfgovc:outcomec 29973 28539
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.46 0.03 1.41 1.51 1.00 30492 29576
## nu 8.70 1.05 6.93 11.03 1.00 30818 29081
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
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Trace-Plot
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Trace-Plot
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Trace-Plot
Trace-Plot
Trace-Plot
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Trace-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Copyright:
Benedikt Philipp Kleer, 2022 (Online-Appendix zur Promotion, eingereicht am 14. September 2022, Fachbereich 03, Justus-Liebig-Universität Gießen).