\begin{Schunk}
\begin{Sinput}
 ## Requesting an estimation summary
 ## Please pay attention to
 ## The used and the total observations and
 ## The Minimum Function Test Statistics
 summary(cfa.01.v.01.fit.listwise, fit.measures = TRUE,
          standardized = TRUE)
\end{Sinput}
\begin{Soutput}
lavaan 0.6-3 ended normally after 17 iterations

  Optimization method                           NLMINB
  Number of free parameters                         18

                                                  Used       Total
  Number of observations                          2221        4284

  Estimator                                         ML
  Model Fit Test Statistic                     121.494
  Degrees of freedom                                 9
  P-value (Chi-square)                           0.000

Model test baseline model:

  Minimum Function Test Statistic             3165.412
  Degrees of freedom                                15
  P-value                                        0.000

User model versus baseline model:

  Comparative Fit Index (CFI)                    0.964
  Tucker-Lewis Index (TLI)                       0.940

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)             -20387.190
  Loglikelihood unrestricted model (H1)     -20326.443

  Number of free parameters                         18
  Akaike (AIC)                               40810.380
  Bayesian (BIC)                             40913.082
  Sample-size adjusted Bayesian (BIC)        40855.894

Root Mean Square Error of Approximation:

  RMSEA                                          0.075
  90 Percent Confidence Interval          0.063  0.087
  P-value RMSEA <= 0.05                          0.000

Standardized Root Mean Square Residual:

  SRMR                                           0.028

Parameter Estimates:

  Information                                 Expected
  Information saturated (h1) model          Structured
  Standard Errors                             Standard

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  depress =~                                                            
    depre1_i          0.741    0.024   31.427    0.000    0.741    0.664
    depre2_i          0.741    0.025   29.855    0.000    0.741    0.637
    depre3_i          0.788    0.026   30.755    0.000    0.788    0.652
    depre4_i          0.884    0.028   31.526    0.000    0.884    0.666
    depre5_i          0.740    0.031   24.233    0.000    0.740    0.534
    depre6_i          0.748    0.029   25.560    0.000    0.748    0.559

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .depre1_i          2.334    0.024   98.567    0.000    2.334    2.091
   .depre2_i          2.694    0.025  109.118    0.000    2.694    2.315
   .depre3_i          1.806    0.026   70.473    0.000    1.806    1.495
   .depre4_i          2.210    0.028   78.438    0.000    2.210    1.664
   .depre5_i          2.485    0.029   84.546    0.000    2.485    1.794
   .depre6_i          2.485    0.028   87.533    0.000    2.485    1.857
    depress           0.000                               0.000    0.000

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    depress           1.000                               1.000    1.000
   .depre1_i          0.696    0.026   26.365    0.000    0.696    0.559
   .depre2_i          0.805    0.029   27.320    0.000    0.805    0.595
   .depre3_i          0.838    0.031   26.790    0.000    0.838    0.574
   .depre4_i          0.982    0.037   26.300    0.000    0.982    0.557
   .depre5_i          1.372    0.046   29.837    0.000    1.372    0.715
   .depre6_i          1.231    0.042   29.344    0.000    1.231    0.687
\end{Soutput}
\end{Schunk}
