TPB_1SO
TPB_1SO.RdA simulated dataset based on the Theory of Planned Behaviour, where INT is a higher order construct of ATT, SN, and PBC.
Examples
tpb <- '
# First order constructs
ATT =~ att1 + att2 + att3
SN =~ sn1 + sn2 + sn3
PBC =~ pbc1 + pbc2 + pbc3
BEH =~ b1 + b2
# Higher order constructs
INT =~ ATT + PBC + SN
# Higher order interaction
INTxPBC =~ ATT:PBC + SN:PBC + PBC:PBC
# Structural model
BEH ~ PBC + INT + INTxPBC
'
# \dontrun{
est_ca <- modsem(tpb, data = TPB_1SO, method = "ca")
summary(est_ca)
#> Estimating baseline model (H0)
#> Warning: Unable to estimate baseline model for models with higher-order interaction terms!
#> modsem (version 1.0.11, approach = ca):
#>
#> Interaction Model Fit Measures (H1):
#> Loglikelihood -42117.62
#> Akaike (AIC) 84339.24
#> Bayesian (BIC) 84630.48
#> Chi-square 4246.90
#> Degrees of Freedom 178
#> P-value (Chi-square) 0.000
#> RMSEA 0.107
#> CFI 0.890
#> SRMR 0.135
#>
#> R-Squared Interaction Model (H1):
#> BEH 0.232
#>
#> lavaan 0.6-19 ended normally after 445 iterations
#>
#> Estimator ML
#> Optimization method NLMINB
#> Number of model parameters 73
#> Row rank of the constraints matrix 21
#>
#> Number of observations 2000
#>
#> Model Test User Model:
#>
#> Test statistic 4246.901
#> Degrees of freedom 178
#> P-value (Chi-square) 0.000
#>
#> Parameter Estimates:
#>
#> Standard errors Standard
#> Information Expected
#> Information saturated (h1) model Structured
#>
#> Latent Variables:
#> Estimate Std.Err z-value P(>|z|)
#> ATT =~
#> att1 (l_1_A) 1.000
#> att2 (l_2_A) 0.904 0.010 89.441 0.000
#> att3 (l_3_A) 0.801 0.009 85.442 0.000
#> SN =~
#> sn1 (l_1_S) 1.000
#> sn2 (l_2_S) 0.879 0.013 66.744 0.000
#> sn3 (l_3_S) 0.780 0.012 63.639 0.000
#> PBC =~
#> pbc1 (l_1_P) 1.000
#> pbc2 (l_2_P) 0.900 0.007 135.630 0.000
#> pbc3 (l_3_P) 0.776 0.006 125.110 0.000
#> BEH =~
#> b1 (l_1_B) 1.000
#> b2 (l_2_B) 0.863 0.033 26.043 0.000
#> INT =~
#> ATT (l_ATT_) 1.000
#> PBC (l_PBC_) 0.783 0.030 26.191 0.000
#> SN (l_SN_) 0.717 0.027 26.257 0.000
#> INTxPBC =~
#> ATTPB (l_ATTP) 1.000
#> SNPBC (l_SNP) 0.735 0.020 35.914 0.000
#> PBCPB (l_PBCP) 1.011 0.027 36.926 0.000
#> ATTPBC =~
#> att11 (l_11_A) 1.000
#> att22 (l_22_A) 0.813 0.009 87.006 0.000
#> att33 (l_33_A) 0.621 0.008 82.373 0.000
#> SNPBC =~
#> sn1p1 (l_11_S) 1.000
#> sn2p2 (l_22_S) 0.792 0.012 68.052 0.000
#> sn3p3 (l_33_S) 0.605 0.009 64.722 0.000
#> PBCPBC =~
#> pbc11 (l_11_P) 1.000
#> pbc22 (l_22_P) 0.810 0.012 67.815 0.000
#> pbc33 (l_33_P) 0.602 0.010 62.555 0.000
#>
#> Regressions:
#> Estimate Std.Err z-value P(>|z|)
#> BEH ~
#> PBC (G_PB) 0.249 0.052 4.775 0.000
#> INT (G_INT_) 0.160 0.056 2.838 0.005
#> INTPB (G_INTP) 0.221 0.016 13.492 0.000
#>
#> Covariances:
#> Estimate Std.Err z-value P(>|z|)
#> INT ~~
#> INTxPBC (C_IN) -0.019 0.025 -0.758 0.448
#> .att1pbc1 ~~
#> .att2pb2 0.000
#> .att3pb3 0.000
#> .att2pbc2 ~~
#> .att3pb3 0.000
#> .sn1pbc1 ~~
#> .sn2pbc2 0.000
#> .sn3pbc3 0.000
#> .sn2pbc2 ~~
#> .sn3pbc3 0.000
#> .pbc1pbc1 ~~
#> .pbc2pb2 0.000
#> .pbc3pb3 0.000
#> .pbc2pbc2 ~~
#> .pbc3pb3 0.000
#>
#> Intercepts:
#> Estimate Std.Err z-value P(>|z|)
#> .ATTPBC (M_AT) 0.422 0.013 32.832 0.000
#> .SNPBC (M_SN) 0.302 0.010 30.547 0.000
#> .PBCPBC (M_PB) 0.575 0.011 51.528 0.000
#> .att1 1.001 0.023 44.025 0.000
#> .att2 1.008 0.021 47.861 0.000
#> .att3 1.002 0.019 52.974 0.000
#> .sn1 0.974 0.018 55.116 0.000
#> .sn2 0.982 0.016 60.802 0.000
#> .sn3 0.991 0.015 67.883 0.000
#> .pbc1 0.983 0.021 47.193 0.000
#> .pbc2 0.988 0.020 49.207 0.000
#> .pbc3 0.998 0.018 54.376 0.000
#> .b1 1.150 0.020 57.082 0.000
#> .b2 1.132 0.018 61.428 0.000
#> .att1pb1 0.391 0.038 10.185 0.000
#> .att2pb2 0.330 0.032 10.249 0.000
#> .att3pb3 0.256 0.025 10.137 0.000
#> .sn1pbc1 0.262 0.029 9.112 0.000
#> .sn2pbc2 0.226 0.024 9.516 0.000
#> .sn3pbc3 0.177 0.019 9.454 0.000
#> .pbc1pb1 0.553 0.038 14.525 0.000
#> .pbc2pb2 0.501 0.032 15.560 0.000
#> .pbc3pb3 0.421 0.025 16.843 0.000
#>
#> Variances:
#> Estimate Std.Err z-value P(>|z|)
#> .ATT (Vr_ATT) 0.346 0.023 15.014 0.000
#> .SN (Vr_SN) 0.179 0.013 13.986 0.000
#> .PBC (Vr_PBC) 0.245 0.016 15.052 0.000
#> .BEH (Z_BE) 0.513 0.029 18.005 0.000
#> INT (Vr_INT) 0.539 0.027 19.889 0.000
#> INTPB (V_INTP) 1.535 0.076 20.148 0.000
#> .ATTPB (V_ATTP) 0.687 0.022 30.946 0.000
#> .SNPBC (V_SNP) 0.354 0.013 27.980 0.000
#> .PBCPB (V_PBCP) 0.662 0.026 25.764 0.000
#> .att1 (Vr_t1) 0.150 0.008 18.624 0.000
#> .att2 (Vr_t2) 0.165 0.007 22.170 0.000
#> .att3 (Vr_t3) 0.147 0.006 23.582 0.000
#> .sn1 (Vr_s1) 0.168 0.008 20.991 0.000
#> .sn2 (Vr_s2) 0.168 0.007 24.105 0.000
#> .sn3 (Vr_s3) 0.149 0.006 25.303 0.000
#> .pbc1 (Vr_p1) 0.293 0.009 30.965 0.000
#> .pbc2 (Vr_p2) 0.340 0.009 38.979 0.000
#> .pbc3 (Vr_p3) 0.327 0.007 44.263 0.000
#> .b1 (Vr_b1) 0.144 0.024 6.051 0.000
#> .b2 (Vr_b2) 0.181 0.018 9.880 0.000
#> .att11 (Vr_t11) 0.389 0.011 34.052 0.000
#> .att22 (Vr_t22) 0.378 0.010 39.469 0.000
#> .att33 (Vr_t33) 0.285 0.007 41.921 0.000
#> .sn1p1 (Vr_s11) 0.279 0.008 35.023 0.000
#> .sn2p2 (Vr_s22) 0.256 0.006 39.790 0.000
#> .sn3p3 (Vr_s33) 0.191 0.005 41.982 0.000
#> .pbc11 (Vr_p11) 0.423 0.015 28.080 0.000
#> .pbc22 (Vr_p22) 0.432 0.013 33.193 0.000
#> .pbc33 (Vr_p33) 0.334 0.009 35.936 0.000
#>
#> Constraints:
#> |Slack|
#> V_ATTPBC-((V_ATT+V_INT*_ATT_INT^2)*(V_INT 0.000
#> V_11-(_1_ATT^2*(V_ATT+V_INT*_ATT_INT^2)*V 0.000
#> V_22-(_2_ATT^2*(V_ATT+V_INT*_ATT_INT^2)*V 0.000
#> V_33-(_3_ATT^2*(V_ATT+V_INT*_ATT_INT^2)*V 0.000
#> V_SNPBC-((V_INT*_SN_INT^2+V_SN)*(V_INT*_P 0.000
#> V_11-(_1_SN^2*(V_INT*_SN_INT^2+V_SN)*V_1+ 0.000
#> V_22-(_2_SN^2*(V_INT*_SN_INT^2+V_SN)*V_2+ 0.000
#> V_33-(_3_SN^2*(V_INT*_SN_INT^2+V_SN)*V_3+ 0.000
#> V_PBCPBC-((V_INT*_PBC_INT^2+V_PBC)*(V_INT 0.000
#> V_11-(_1_PBC^2*(V_INT*_PBC_INT^2+V_PBC)*V 0.000
#> V_22-(_2_PBC^2*(V_INT*_PBC_INT^2+V_PBC)*V 0.000
#> V_33-(_3_PBC^2*(V_INT*_PBC_INT^2+V_PBC)*V 0.000
#> lmbd_tt1pbc1_ATTPBC-(lmbd_tt1_ATT*_1_PBC) 0.000
#> lmbd_tt2pbc2_ATTPBC-(lmbd_tt2_ATT*_2_PBC) 0.000
#> lmbd_tt3pbc3_ATTPBC-(lmbd_tt3_ATT*_3_PBC) 0.000
#> lmbd_sn1pbc1_SNPBC-(lmbd_sn1_SN*lm_1_PBC) 0.000
#> lmbd_sn2pbc2_SNPBC-(lmbd_sn2_SN*lm_2_PBC) 0.000
#> lmbd_sn3pbc3_SNPBC-(lmbd_sn3_SN*lm_3_PBC) 0.000
#> lmbd_pbc1pbc1_PBCPBC-(lmbd_p1_PBC*_1_PBC) 0.000
#> lmbd_pbc2pbc2_PBCPBC-(lmbd_p2_PBC*_2_PBC) 0.000
#> lmbd_pbc3pbc3_PBCPBC-(lmbd_p3_PBC*_3_PBC) 0.000
#> Mn_ATTPBC-((Vr_INT*lmb_ATT_INT*_PBC_INT)) 0.000
#> Mn_SNPBC-((Vr_INT*lmbd_PBC_INT*l_SN_INT)) 0.000
#> Mn_PBCPBC-((Vr_INT*lmbd_PBC_INT^2+V_PBC)) 0.000
#>
est_dblcent <- modsem(tpb, data = TPB_1SO, method = "dblcent")
summary(est_dblcent)
#> Estimating baseline model (H0)
#> Warning: Unable to estimate baseline model for models with higher-order interaction terms!
#> modsem (version 1.0.11, approach = dblcent):
#>
#> Interaction Model Fit Measures (H1):
#> Loglikelihood -42695.54
#> Akaike (AIC) 85803.08
#> Bayesian (BIC) 86956.87
#> Chi-square 565.72
#> Degrees of Freedom 424
#> P-value (Chi-square) 0.000
#> RMSEA 0.013
#> CFI 0.999
#> SRMR 0.018
#>
#> R-Squared Interaction Model (H1):
#> BEH 0.276
#>
#> lavaan 0.6-19 ended normally after 583 iterations
#>
#> Estimator ML
#> Optimization method NLMINB
#> Number of model parameters 206
#>
#> Number of observations 2000
#>
#> Model Test User Model:
#>
#> Test statistic 565.724
#> Degrees of freedom 424
#> P-value (Chi-square) 0.000
#>
#> Parameter Estimates:
#>
#> Standard errors Standard
#> Information Expected
#> Information saturated (h1) model Structured
#>
#> Latent Variables:
#> Estimate Std.Err z-value P(>|z|)
#> ATT =~
#> att1 1.000
#> att2 0.909 0.011 82.768 0.000
#> att3 0.802 0.010 80.425 0.000
#> SN =~
#> sn1 1.000
#> sn2 0.891 0.016 54.218 0.000
#> sn3 0.790 0.015 52.448 0.000
#> PBC =~
#> pbc1 1.000
#> pbc2 0.909 0.014 66.750 0.000
#> pbc3 0.793 0.013 63.370 0.000
#> BEH =~
#> b1 1.000
#> b2 0.865 0.029 30.297 0.000
#> INT =~
#> ATT 1.000
#> PBC 0.819 0.024 33.976 0.000
#> SN 0.702 0.021 33.484 0.000
#> INTxPBC =~
#> ATTPBC 1.000
#> SNPBC 0.717 0.017 41.167 0.000
#> PBCPBC 0.971 0.022 43.199 0.000
#> ATTPBC =~
#> att1pbc1 1.000
#> att2pbc1 0.897 0.010 92.034 0.000
#> att3pbc1 0.807 0.009 90.390 0.000
#> att1pbc2 0.908 0.010 87.991 0.000
#> att2pbc2 0.813 0.012 65.243 0.000
#> att3pbc2 0.733 0.011 65.091 0.000
#> att1pbc3 0.774 0.010 81.181 0.000
#> att2pbc3 0.694 0.011 60.977 0.000
#> att3pbc3 0.630 0.010 61.880 0.000
#> SNPBC =~
#> sn1pbc1 1.000
#> sn2pbc1 0.884 0.014 63.726 0.000
#> sn3pbc1 0.782 0.013 61.274 0.000
#> sn1pbc2 0.907 0.011 84.140 0.000
#> sn2pbc2 0.802 0.015 52.856 0.000
#> sn3pbc2 0.702 0.014 51.227 0.000
#> sn1pbc3 0.787 0.010 79.471 0.000
#> sn2pbc3 0.686 0.014 50.281 0.000
#> sn3pbc3 0.613 0.012 50.032 0.000
#> PBCPBC =~
#> pbc1pbc1 1.000
#> pbc2pbc1 0.909 0.010 89.205 0.000
#> pbc3pbc1 0.782 0.009 85.688 0.000
#> pbc2pbc2 0.827 0.017 47.996 0.000
#> pbc3pbc2 0.710 0.013 54.545 0.000
#> pbc3pbc3 0.616 0.014 45.151 0.000
#>
#> Regressions:
#> Estimate Std.Err z-value P(>|z|)
#> BEH ~
#> PBC 0.188 0.043 4.337 0.000
#> INT 0.188 0.045 4.173 0.000
#> INTxPBC 0.217 0.016 13.789 0.000
#>
#> Covariances:
#> Estimate Std.Err z-value P(>|z|)
#> .att1pbc1 ~~
#> .att1pbc2 0.122 0.008 15.676 0.000
#> .att1pbc3 0.108 0.007 15.545 0.000
#> .att2pbc1 0.201 0.013 16.047 0.000
#> .att3pbc1 0.178 0.011 16.033 0.000
#> .pbc1pbc1 0.256 0.018 13.950 0.000
#> .pbc2pbc1 0.118 0.009 12.940 0.000
#> .pbc3pbc1 0.098 0.008 12.237 0.000
#> .sn1pbc1 0.116 0.009 13.217 0.000
#> .sn2pbc1 0.100 0.008 12.831 0.000
#> .sn3pbc1 0.097 0.007 13.331 0.000
#> .att1pbc2 ~~
#> .att1pbc3 0.099 0.006 15.365 0.000
#> .att2pbc2 0.205 0.011 18.285 0.000
#> .att3pbc2 0.189 0.010 18.718 0.000
#> .pbc2pbc1 0.136 0.009 15.063 0.000
#> .pbc2pbc2 0.241 0.015 15.591 0.000
#> .pbc3pbc2 0.106 0.007 14.278 0.000
#> .sn1pbc2 0.123 0.008 15.415 0.000
#> .sn2pbc2 0.098 0.007 13.955 0.000
#> .sn3pbc2 0.098 0.007 15.102 0.000
#> .att1pbc3 ~~
#> .att2pbc3 0.232 0.010 22.926 0.000
#> .att3pbc3 0.199 0.009 22.457 0.000
#> .pbc3pbc1 0.144 0.008 18.050 0.000
#> .pbc3pbc2 0.130 0.007 17.741 0.000
#> .pbc3pbc3 0.232 0.012 18.949 0.000
#> .sn1pbc3 0.125 0.007 17.887 0.000
#> .sn2pbc3 0.107 0.006 17.035 0.000
#> .sn3pbc3 0.103 0.006 17.869 0.000
#> .att2pbc1 ~~
#> .att2pbc2 0.156 0.008 20.447 0.000
#> .att2pbc3 0.144 0.007 20.765 0.000
#> .att3pbc1 0.163 0.010 16.025 0.000
#> .pbc1pbc1 0.238 0.017 14.066 0.000
#> .pbc2pbc1 0.105 0.008 12.572 0.000
#> .pbc3pbc1 0.088 0.007 11.960 0.000
#> .sn1pbc1 0.111 0.008 13.687 0.000
#> .sn2pbc1 0.093 0.007 12.940 0.000
#> .sn3pbc1 0.092 0.007 13.718 0.000
#> .att2pbc2 ~~
#> .att2pbc3 0.130 0.006 20.314 0.000
#> .att3pbc2 0.169 0.009 18.418 0.000
#> .pbc2pbc1 0.121 0.008 14.699 0.000
#> .pbc2pbc2 0.223 0.014 15.709 0.000
#> .pbc3pbc2 0.097 0.007 14.256 0.000
#> .sn1pbc2 0.108 0.007 14.776 0.000
#> .sn2pbc2 0.090 0.006 14.023 0.000
#> .sn3pbc2 0.085 0.006 14.369 0.000
#> .att2pbc3 ~~
#> .att3pbc3 0.182 0.008 22.286 0.000
#> .pbc3pbc1 0.129 0.007 17.566 0.000
#> .pbc3pbc2 0.116 0.007 17.202 0.000
#> .pbc3pbc3 0.214 0.011 18.903 0.000
#> .sn1pbc3 0.116 0.006 17.956 0.000
#> .sn2pbc3 0.100 0.006 17.266 0.000
#> .sn3pbc3 0.093 0.005 17.549 0.000
#> .att3pbc1 ~~
#> .att3pbc2 0.132 0.006 20.977 0.000
#> .att3pbc3 0.118 0.006 20.694 0.000
#> .pbc1pbc1 0.205 0.015 13.672 0.000
#> .pbc2pbc1 0.093 0.007 12.446 0.000
#> .pbc3pbc1 0.078 0.007 11.904 0.000
#> .sn1pbc1 0.098 0.007 13.636 0.000
#> .sn2pbc1 0.084 0.006 13.195 0.000
#> .sn3pbc1 0.082 0.006 13.824 0.000
#> .att3pbc2 ~~
#> .att3pbc3 0.105 0.005 20.231 0.000
#> .pbc2pbc1 0.115 0.007 15.475 0.000
#> .pbc2pbc2 0.216 0.013 16.714 0.000
#> .pbc3pbc2 0.091 0.006 14.907 0.000
#> .sn1pbc2 0.096 0.007 14.798 0.000
#> .sn2pbc2 0.080 0.006 13.856 0.000
#> .sn3pbc2 0.077 0.005 14.399 0.000
#> .att3pbc3 ~~
#> .pbc3pbc1 0.116 0.007 17.724 0.000
#> .pbc3pbc2 0.106 0.006 17.648 0.000
#> .pbc3pbc3 0.186 0.010 18.584 0.000
#> .sn1pbc3 0.098 0.006 17.232 0.000
#> .sn2pbc3 0.087 0.005 16.906 0.000
#> .sn3pbc3 0.080 0.005 17.060 0.000
#> .pbc1pbc1 ~~
#> .pbc2pbc1 0.283 0.017 16.582 0.000
#> .pbc3pbc1 0.251 0.015 16.550 0.000
#> .sn1pbc1 ~~
#> .pbc1pbc1 0.201 0.014 14.829 0.000
#> .sn2pbc1 ~~
#> .pbc1pbc1 0.171 0.012 14.066 0.000
#> .sn3pbc1 ~~
#> .pbc1pbc1 0.163 0.011 14.496 0.000
#> .pbc2pbc1 ~~
#> .pbc2pbc2 0.299 0.015 19.338 0.000
#> .pbc3pbc1 0.111 0.007 15.091 0.000
#> .pbc3pbc2 0.130 0.007 17.842 0.000
#> .sn1pbc1 ~~
#> .pbc2pbc1 0.089 0.007 13.195 0.000
#> .sn1pbc2 ~~
#> .pbc2pbc1 0.088 0.007 13.471 0.000
#> .sn2pbc1 ~~
#> .pbc2pbc1 0.079 0.006 13.005 0.000
#> .sn2pbc2 ~~
#> .pbc2pbc1 0.080 0.006 13.607 0.000
#> .sn3pbc1 ~~
#> .pbc2pbc1 0.071 0.006 12.854 0.000
#> .sn3pbc2 ~~
#> .pbc2pbc1 0.077 0.005 14.169 0.000
#> .pbc2pbc2 ~~
#> .pbc3pbc2 0.241 0.013 18.860 0.000
#> .sn1pbc2 ~~
#> .pbc2pbc2 0.166 0.011 14.639 0.000
#> .sn2pbc2 ~~
#> .pbc2pbc2 0.152 0.010 14.913 0.000
#> .sn3pbc2 ~~
#> .pbc2pbc2 0.137 0.009 14.766 0.000
#> .pbc3pbc1 ~~
#> .pbc3pbc2 0.146 0.007 21.068 0.000
#> .pbc3pbc3 0.263 0.012 22.316 0.000
#> .sn1pbc1 ~~
#> .pbc3pbc1 0.078 0.006 12.972 0.000
#> .sn1pbc3 ~~
#> .pbc3pbc1 0.091 0.006 15.897 0.000
#> .sn2pbc1 ~~
#> .pbc3pbc1 0.067 0.005 12.407 0.000
#> .sn2pbc3 ~~
#> .pbc3pbc1 0.083 0.005 16.014 0.000
#> .sn3pbc1 ~~
#> .pbc3pbc1 0.062 0.005 12.611 0.000
#> .sn3pbc3 ~~
#> .pbc3pbc1 0.079 0.005 16.645 0.000
#> .pbc3pbc2 ~~
#> .pbc3pbc3 0.236 0.011 21.902 0.000
#> .sn1pbc2 ~~
#> .pbc3pbc2 0.075 0.005 13.720 0.000
#> .sn1pbc3 ~~
#> .pbc3pbc2 0.083 0.005 15.837 0.000
#> .sn2pbc2 ~~
#> .pbc3pbc2 0.067 0.005 13.755 0.000
#> .sn2pbc3 ~~
#> .pbc3pbc2 0.077 0.005 16.119 0.000
#> .sn3pbc2 ~~
#> .pbc3pbc2 0.062 0.004 13.867 0.000
#> .sn3pbc3 ~~
#> .pbc3pbc2 0.071 0.004 16.237 0.000
#> .sn1pbc3 ~~
#> .pbc3pbc3 0.153 0.009 17.396 0.000
#> .sn2pbc3 ~~
#> .pbc3pbc3 0.142 0.008 17.662 0.000
#> .sn3pbc3 ~~
#> .pbc3pbc3 0.129 0.007 17.642 0.000
#> .sn1pbc1 ~~
#> .sn1pbc2 0.163 0.009 19.134 0.000
#> .sn1pbc3 0.139 0.007 18.626 0.000
#> .sn2pbc1 0.099 0.006 15.359 0.000
#> .sn3pbc1 0.089 0.006 15.027 0.000
#> .sn1pbc2 ~~
#> .sn1pbc3 0.126 0.007 18.289 0.000
#> .sn2pbc2 0.101 0.006 17.396 0.000
#> .sn3pbc2 0.096 0.005 18.005 0.000
#> .sn1pbc3 ~~
#> .sn2pbc3 0.106 0.005 20.768 0.000
#> .sn3pbc3 0.095 0.005 20.530 0.000
#> .sn2pbc1 ~~
#> .sn2pbc2 0.136 0.007 19.542 0.000
#> .sn2pbc3 0.122 0.006 19.630 0.000
#> .sn3pbc1 0.079 0.005 14.861 0.000
#> .sn2pbc2 ~~
#> .sn2pbc3 0.109 0.006 19.185 0.000
#> .sn3pbc2 0.083 0.005 17.507 0.000
#> .sn2pbc3 ~~
#> .sn3pbc3 0.084 0.004 20.140 0.000
#> .sn3pbc1 ~~
#> .sn3pbc2 0.122 0.006 20.972 0.000
#> .sn3pbc3 0.107 0.005 20.599 0.000
#> .sn3pbc2 ~~
#> .sn3pbc3 0.096 0.005 20.403 0.000
#> INT ~~
#> INTxPBC -0.038 0.033 -1.147 0.252
#>
#> Variances:
#> Estimate Std.Err z-value P(>|z|)
#> .att1 0.152 0.008 18.217 0.000
#> .att2 0.168 0.008 21.468 0.000
#> .att3 0.147 0.006 22.692 0.000
#> .sn1 0.171 0.009 19.842 0.000
#> .sn2 0.165 0.008 21.851 0.000
#> .sn3 0.151 0.006 23.314 0.000
#> .pbc1 0.162 0.009 18.801 0.000
#> .pbc2 0.167 0.008 21.287 0.000
#> .pbc3 0.159 0.007 23.501 0.000
#> .b1 0.145 0.021 6.812 0.000
#> .b2 0.180 0.017 10.895 0.000
#> .att1pbc1 0.377 0.017 22.325 0.000
#> .att2pbc1 0.381 0.015 25.514 0.000
#> .att3pbc1 0.314 0.012 25.965 0.000
#> .att1pbc2 0.371 0.015 24.510 0.000
#> .att2pbc2 0.360 0.013 27.082 0.000
#> .att3pbc2 0.298 0.011 27.636 0.000
#> .att1pbc3 0.364 0.013 27.887 0.000
#> .att2pbc3 0.357 0.012 30.624 0.000
#> .att3pbc3 0.277 0.009 30.093 0.000
#> .sn1pbc1 0.315 0.013 25.133 0.000
#> .sn2pbc1 0.261 0.010 25.532 0.000
#> .sn3pbc1 0.232 0.009 26.660 0.000
#> .sn1pbc2 0.297 0.011 26.676 0.000
#> .sn2pbc2 0.240 0.009 26.744 0.000
#> .sn3pbc2 0.211 0.007 28.273 0.000
#> .sn1pbc3 0.253 0.009 28.195 0.000
#> .sn2pbc3 0.222 0.008 29.257 0.000
#> .sn3pbc3 0.183 0.006 29.644 0.000
#> .pbc1pbc1 0.680 0.036 19.050 0.000
#> .pbc2pbc1 0.310 0.013 23.088 0.000
#> .pbc3pbc1 0.287 0.011 25.366 0.000
#> .pbc2pbc2 0.611 0.028 21.890 0.000
#> .pbc3pbc2 0.264 0.010 26.146 0.000
#> .pbc3pbc3 0.470 0.019 24.836 0.000
#> .ATT 0.389 0.025 15.723 0.000
#> .SN 0.199 0.014 14.729 0.000
#> .PBC 0.300 0.018 16.350 0.000
#> .BEH 0.516 0.027 19.381 0.000
#> INT 0.994 0.049 20.231 0.000
#> INTxPBC 1.597 0.073 21.909 0.000
#> .ATTPBC 0.373 0.025 14.700 0.000
#> .SNPBC 0.224 0.015 15.118 0.000
#> .PBCPBC 0.349 0.025 13.718 0.000
#>
# }