## Conservatism estimates should be reversed

lavaan 0.6.17 ended normally after 49 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        26

                                                  Used       Total
  Number of observations                           405         449
  Number of missing patterns                         4            

Model Test User Model:
                                                      
  Test statistic                                76.121
  Degrees of freedom                                 9
  P-value (Chi-square)                           0.000

Model Test Baseline Model:

  Test statistic                              1370.130
  Degrees of freedom                                21
  P-value                                        0.000

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.950
  Tucker-Lewis Index (TLI)                       0.884
                                                      
  Robust Comparative Fit Index (CFI)             0.951
  Robust Tucker-Lewis Index (TLI)                0.885

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -3802.671
  Loglikelihood unrestricted model (H1)      -3764.611
                                                      
  Akaike (AIC)                                7657.343
  Bayesian (BIC)                              7761.444
  Sample-size adjusted Bayesian (SABIC)       7678.943

Root Mean Square Error of Approximation:

  RMSEA                                          0.136
  90 Percent confidence interval - lower         0.109
  90 Percent confidence interval - upper         0.165
  P-value H_0: RMSEA <= 0.050                    0.000
  P-value H_0: RMSEA >= 0.080                    0.999
                                                      
  Robust RMSEA                                   0.137
  90 Percent confidence interval - lower         0.109
  90 Percent confidence interval - upper         0.167
  P-value H_0: Robust RMSEA <= 0.050             0.000
  P-value H_0: Robust RMSEA >= 0.080             1.000

Standardized Root Mean Square Residual:

  SRMR                                           0.037

Parameter Estimates:

  Standard errors                             Standard
  Information                                 Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  iv1 =~                                                                
    rich1             0.826    0.045   18.461    0.000    0.826    0.837
    rich2             0.988    0.043   23.087    0.000    0.988    0.995
  iv2 =~                                                                
    hap1              0.845    0.055   15.295    0.000    0.845    0.744
    hap2_recoded      1.037    0.062   16.594    0.000    1.037    0.788
  iv3 =~                                                                
    mean1             1.029    0.049   21.201    0.000    1.029    0.925
    mean2             0.927    0.061   15.134    0.000    0.927    0.699

Regressions:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  cons ~                                                                
    iv1               0.008    0.123    0.062    0.951    0.008    0.005
    iv2              -0.093    0.312   -0.297    0.767   -0.093   -0.057
    iv3              -0.118    0.336   -0.351    0.725   -0.118   -0.072

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  iv1 ~~                                                                
    iv2               0.514    0.046   11.062    0.000    0.514    0.514
    iv3               0.642    0.038   16.986    0.000    0.642    0.642
  iv2 ~~                                                                
    iv3               0.879    0.032   27.235    0.000    0.879    0.879

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .rich1             5.028    0.049  102.148    0.000    5.028    5.094
   .rich2             5.011    0.049  101.559    0.000    5.011    5.050
   .hap1              5.246    0.057   92.309    0.000    5.246    4.619
   .hap2_recoded      4.612    0.065   70.511    0.000    4.612    3.504
   .mean1             5.204    0.056   93.700    0.000    5.204    4.676
   .mean2             4.601    0.066   69.746    0.000    4.601    3.471
   .cons              4.251    0.083   51.179    0.000    4.251    2.598

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .rich1             0.292    0.040    7.352    0.000    0.292    0.300
   .rich2             0.010    0.048    0.198    0.843    0.010    0.010
   .hap1              0.577    0.059    9.740    0.000    0.577    0.447
   .hap2_recoded      0.657    0.079    8.314    0.000    0.657    0.379
   .mean1             0.179    0.050    3.595    0.000    0.179    0.145
   .mean2             0.898    0.075   12.030    0.000    0.898    0.511
   .cons              2.638    0.190   13.900    0.000    2.638    0.985
    iv1               1.000                               1.000    1.000
    iv2               1.000                               1.000    1.000
    iv3               1.000                               1.000    1.000

