\begin{Schunk}
\begin{Sinput}
 mediat.out.2.std.A <- sem(mediat.mod.2, data = dat, std.lv = TRUE, std.ov=TRUE, se = "boot", bootstrap = Nboot)
 summary(mediat.out.2.std.A, fit = TRUE)
\end{Sinput}
\begin{Soutput}
lavaan 0.6-3 ended normally after 31 iterations

  Optimization method                           NLMINB
  Number of free parameters                         37

  Number of observations                           380

  Estimator                                         ML
  Model Fit Test Statistic                     109.152
  Degrees of freedom                                83
  P-value (Chi-square)                           0.029

Model test baseline model:

  Minimum Function Test Statistic             3749.411
  Degrees of freedom                               105
  P-value                                        0.000

User model versus baseline model:

  Comparative Fit Index (CFI)                    0.993
  Tucker-Lewis Index (TLI)                       0.991

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -6260.310
  Loglikelihood unrestricted model (H1)      -6205.734

  Number of free parameters                         37
  Akaike (AIC)                               12594.621
  Bayesian (BIC)                             12740.407
  Sample-size adjusted Bayesian (BIC)        12623.013

Root Mean Square Error of Approximation:

  RMSEA                                          0.029
  90 Percent Confidence Interval          0.010  0.043
  P-value RMSEA <= 0.05                          0.996

Standardized Root Mean Square Residual:

  SRMR                                           0.034

Parameter Estimates:

  Standard Errors                            Bootstrap
  Number of requested bootstrap draws              500
  Number of successful bootstrap draws             500

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)
  Agency =~                                           
    Agency1           0.904    0.042   21.531    0.000
    Agency2           0.932    0.042   22.325    0.000
    Agency3           0.910    0.044   20.914    0.000
  Intrinsic =~                                        
    Intrin1           0.605    0.052   11.579    0.000
    Intrin2           0.587    0.045   13.046    0.000
    Intrin3           0.689    0.041   16.750    0.000
  Extrinsic =~                                        
    Extrin1           0.777    0.048   16.079    0.000
    Extrin2           0.763    0.049   15.634    0.000
    Extrin3           0.795    0.053   14.918    0.000
  Positive =~                                         
    PosAFF1           0.770    0.037   20.728    0.000
    PosAFF2           0.796    0.041   19.302    0.000
    PosAFF3           0.807    0.039   20.575    0.000
  Negative =~                                         
    NegAFF1           0.869    0.051   16.875    0.000
    NegAFF2           0.864    0.057   15.044    0.000
    NegAFF3           0.897    0.051   17.756    0.000

Regressions:
                   Estimate  Std.Err  z-value  P(>|z|)
  Positive ~                                          
    Intrinsic (b1)    0.343    0.073    4.684    0.000
    Agency            0.129    0.074    1.739    0.082
  Negative ~                                          
    Extrinsic (b2)    0.199    0.068    2.939    0.003
  Intrinsic ~                                         
    Agency    (a1)    0.588    0.087    6.788    0.000
  Extrinsic ~                                         
    Agency    (a2)    0.278    0.062    4.450    0.000

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)
 .Intrinsic ~~                                        
   .Extrinsic        -0.202    0.060   -3.350    0.001
 .Positive ~~                                         
   .Negative         -0.076    0.073   -1.052    0.293

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)
   .Agency1           0.181    0.022    8.400    0.000
   .Agency2           0.129    0.017    7.696    0.000
   .Agency3           0.169    0.018    9.134    0.000
   .Intrin1           0.505    0.056    8.949    0.000
   .Intrin2           0.534    0.056    9.600    0.000
   .Intrin3           0.358    0.062    5.793    0.000
   .Extrin1           0.347    0.047    7.445    0.000
   .Extrin2           0.371    0.045    8.278    0.000
   .Extrin3           0.316    0.051    6.232    0.000
   .PosAFF1           0.271    0.034    7.846    0.000
   .PosAFF2           0.221    0.034    6.437    0.000
   .PosAFF3           0.199    0.028    6.978    0.000
   .NegAFF1           0.210    0.030    6.972    0.000
   .NegAFF2           0.219    0.030    7.261    0.000
   .NegAFF3           0.157    0.025    6.405    0.000
    Agency            1.000                           
   .Intrinsic         1.000                           
   .Extrinsic         1.000                           
   .Positive          1.000                           
   .Negative          1.000                           

Defined Parameters:
                   Estimate  Std.Err  z-value  P(>|z|)
    ind1              0.202    0.045    4.515    0.000
    ind2              0.055    0.023    2.445    0.014
\end{Soutput}
\end{Schunk}
