Suicide Path Analysis

Megan Tsui

05/19/2022

Regressions

lavaan 0.6-11 ended normally after 19 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        17
                                                      
  Number of observations                           666
                                                      
Model Test User Model:
                                                      
  Test statistic                                17.825
  Degrees of freedom                                 1
  P-value (Chi-square)                           0.000

Model Test Baseline Model:

  Test statistic                               361.566
  Degrees of freedom                                10
  P-value                                        0.000

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.952
  Tucker-Lewis Index (TLI)                       0.521

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)               -605.721
  Loglikelihood unrestricted model (H1)       -596.809
                                                      
  Akaike (AIC)                                1245.442
  Bayesian (BIC)                              1321.964
  Sample-size adjusted Bayesian (BIC)         1267.988

Root Mean Square Error of Approximation:

  RMSEA                                          0.159
  90 Percent confidence interval - lower         0.100
  90 Percent confidence interval - upper         0.227
  P-value RMSEA <= 0.05                          0.002

Standardized Root Mean Square Residual:

  SRMR                                           0.031

Parameter Estimates:

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

Regressions:
                         Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  SuicideRisk ~                                                               
    Brdn_Blngngnss          0.124    0.036    3.411    0.001    0.124    0.133
    Capability              0.045    0.045    1.003    0.316    0.045    0.044
    CombatExposure          0.047    0.014    3.296    0.001    0.047    0.148
    PTSD                    0.062    0.038    1.648    0.099    0.062    0.064
  Burden_Belongingness ~                                                      
    PTSD                    0.197    0.039    4.993    0.000    0.197    0.188
    Capability              0.042    0.048    0.867    0.386    0.042    0.038
    CombatExposure          0.055    0.015    3.668    0.000    0.055    0.162
  Capability ~                                                                
    CombatExposure          0.163    0.010   15.980    0.000    0.163    0.526
  PTSD ~                                                                      
    CombatExposure          0.057    0.012    4.559    0.000    0.057    0.174

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .SuicideRisk      -0.006    0.012   -0.464    0.643   -0.006   -0.017
   .Brdn_Blngngnss    0.010    0.013    0.777    0.437    0.010    0.029
   .Capability       -0.028    0.010   -2.704    0.007   -0.028   -0.089
   .PTSD              0.008    0.012    0.664    0.507    0.008    0.025

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .SuicideRisk       0.095    0.005   18.248    0.000    0.095    0.930
   .Brdn_Blngngnss    0.107    0.006   18.248    0.000    0.107    0.918
   .Capability        0.069    0.004   18.248    0.000    0.069    0.723
   .PTSD              0.103    0.006   18.248    0.000    0.103    0.970

Model