CFI/TLI is NA? But other fit indices are fine?

Allie Choate

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Jul 12, 2018, 7:11:07 PM7/12/18

to lavaan

Hi everyone,

I am fitting a bifactor model across multiple time points. When I fit the model with only a single time point (at a time), everything works fine. However, when I run across all my time-points I get 'NA's for my CFI/TLI (though everything else I think looks okay...). I'm not sure why this is happening, but if anyone has any ideas that would be very much appreciated.

My code is below - I have a general factor and two specific factors at each time point (the numbers correspond to ages, so I am working with ages 14-20), with one variable loading (called 'V' in the code) loads on both specific factors and the general factor. The numbers in both the factor and variable names correspond to my ages. Of note, I have quite a bit of missingness, especially at later time points. I am using FIML to deal with this currently with MLR estimation. I apologize in advance that my code/output is a little long... any help would be lovely!

Thanks!

bfm.long<-'

g.14 =~ L1_14C + L2_14C

+ E1_14C + E2_14C + E4_14C + E3_14C + E5_14C + V_14C

INT.14 =~ L1_14C + L2_14C + V_14C

EXT.14 =~ E1_14C + E2_14C + E4_14C + E3_14C + E5_14C + V_14C

g.15 =~ L1_15C + L2_15C

+ E1_15C + E2_15C + E4_15C + E3_15C + E5_15C + V_15C

INT.15 =~ L1_15C + L2_15C + V_15C

EXT.15 =~ E1_15C + E2_15C + E3_15C + E4_15C + E5_15C + V_15C

g.16 =~ L1_16C + L2_16C

+ E1_16C + E2_16C + E3_16C + E4_16C + E5_16C + V_16C

INT.16 =~ L1_16C + L2_16C + V_16C

EXT.16 =~ E1_16C + E2_16C + E3_16C + E4_16C + E5_16C + V_16C

g.17 =~ L1_17C + L2_17C

+ E1_17C + E2_17C + E4_17C+ E3_17C + E5_17C + V_17C

INT.17 =~ L1_17C + L2_17C + V_17C

EXT.17 =~ E1_17C + E2_17C + E4_17C + E3_17C + E5_17C + V_17C

g.18 =~ L1_18C + L2_18C

+ E1_18C + E2_18C + E4_18C + E3_18C + E5_18C + V_18C

INT.18 =~ L1_18C + L2_18C + V_18C

EXT.18 =~ E1_18C + E218C + E4_18C + E3_18C + E5_18 + V_18C

g.19 =~ L1_19C + L2_19C

+ E1_19C + E2_19C + E4_19C + E3_19C + E5_19C + V_19C

INT.19 =~ L1_19C + L2_19C + V_19C

EXT.19 =~ E1_19C + E2_19C + E4_19C + E3_19C + E5_19C + V_19C

g.20 =~ L1_20C + L2_20C

+ E1_20C + E2_20C + E4_20C + E3_20C + E5_20C + V_20C

INT.20 =~ L1_20C + L2_20C + V_20C

EXT.20 =~ E1_20C + E2_20C + E4_20C + E3_20C + E5_20C + V_20C

#regressions across time

g.20 ~ g.19

g.19 ~ g.18

g.18 ~ g.17

g.17 ~ g.16

g.16 ~ g.15

g.15 ~ g.14

INT.20 ~ INT.19

INT.19 ~ INT.18

INT.18 ~ INT.17

INT.17 ~ INT.16

INT.16 ~ INT.15

INT.15 ~ INT.14

EXT.20 ~ EXT.19

EXT.19 ~ EXT.18

EXT.18 ~ EXT.17

EXT.17 ~ EXT.16

EXT.16 ~ EXT.15

EXT.15 ~ EXT.14

#residual correlations for 1 vbl (V)

V_14C ~~ V_15C

V_15C ~~ V_16C

V_16C ~~ V_17C

V_17C ~~ V_18C

V_18C ~~ V_19C

V_19C ~~ V_20C

'

bifactor<- cfa(bfm.long, data=pgs, orthogonal=TRUE, estimator="MLR",

std.lv=TRUE, missing="fiml")

summary(bifactor, fit.measures=TRUE, standardized=TRUE)

lavaan (0.6-1) converged normally after 624 iterations

Used Total

Number of observations 2339 2451

Number of missing patterns 510

Estimator ML Robust

Model Fit Test Statistic 11772.660 10035.048

Degrees of freedom 1397 1397

P-value (Chi-square) 0.000 0.000

Scaling correction factor 1.173

for the Yuan-Bentler correction (Mplus variant)

User model versus baseline model:

Comparative Fit Index (CFI) NA NA

Tucker-Lewis Index (TLI) NA NA

Robust Comparative Fit Index (CFI) NA

Robust Tucker-Lewis Index (TLI) NA

Loglikelihood and Information Criteria:

Loglikelihood user model (H0) -236609.852 -236609.852

Loglikelihood unrestricted model (H1) -230723.522 -230723.522

Number of free parameters 255 255

Akaike (AIC) 473729.705 473729.705

Bayesian (BIC) 475197.862 475197.862

Sample-size adjusted Bayesian (BIC) 474387.676 474387.676

Root Mean Square Error of Approximation:

RMSEA 0.056 0.051

90 Percent Confidence Interval 0.055 0.057 0.051 0.052

P-value RMSEA <= 0.05 0.000 0.004

Robust RMSEA NA

90 Percent Confidence Interval NA NA

Standardized Root Mean Square Residual:

SRMR 0.067 0.067

Parameter Estimates:

Information Observed

Observed information based on Hessian

Standard Errors Robust.huber.white

Latent Variables:

Estimate Std.Err z-value P(>|z|) Std.lv Std.all

g.14 =~

L1_14C 0.236 0.014 16.406 0.000 0.236 0.394

L2_14C 3.079 0.104 29.703 0.000 3.079 0.616

E1_14C 3.370 0.088 38.297 0.000 3.370 0.834

E2_14C. 6.352 0.169 37.490 0.000 6.352 0.796

E4_14C 1.549 0.330 4.689 0.000 1.549 0.105

E3_14C 0.637 0.036 17.473 0.000 0.637 0.430

E5_14C 3.475 0.422 8.242 0.000 3.475 0.236

V_14C 1.452 0.053 27.234 0.000 1.452 0.697

INT.14 =~

L1_14C 0.338 0.023 14.915 0.000 0.338 0.562

L2_14C 1.786 0.172 10.395 0.000 1.786 0.358

V_14C 0.615 0.071 8.709 0.000 0.615 0.295

EXT.14 =~

E1_14C 0.390 0.120 3.257 0.001 0.390 0.096

E2_14C. 0.273 0.230 1.188 0.235 0.273 0.034

E3_14C 0.111 0.041 2.723 0.006 0.111 0.075

E4_14C 1.307 0.774 1.687 0.092 1.307 0.088

E5_14C 10.867 1.300 8.359 0.000 10.867 0.739

V_14C 0.147 0.073 2.000 0.045 0.147 0.070

g.15 =~

L1_15C 0.139 0.009 15.632 0.000 0.244 0.379

L2_15C 1.688 0.082 20.671 0.000 2.976 0.598

E1_15C 1.874 0.074 25.437 0.000 3.302 0.822

E2_15C 3.650 0.148 24.610 0.000 6.432 0.793

E4_15C 0.728 0.097 7.532 0.000 1.283 0.386

E3_15C 0.338 0.022 15.464 0.000 0.595 0.427

E5_15C 2.254 0.239 9.424 0.000 3.971 0.261

V_15C 0.777 0.036 21.707 0.000 1.370 0.656

INT.15 =~

L1_15C 0.049 0.126 0.392 0.695 0.425 0.659

L2_15C 0.225 0.574 0.393 0.694 1.941 0.390

V_15C 0.075 0.192 0.391 0.695 0.648 0.311

EXT.15 =~

E1_15C 0.108 0.077 1.400 0.162 0.289 0.072

E2_15C. -0.103 0.103 -1.003 0.316 -0.278 -0.034

E3_15C 0.038 0.028 1.333 0.183 0.101 0.072

E4_15C 0.229 0.168 1.361 0.174 0.616 0.185

E5_15C 4.597 3.361 1.368 0.171 12.363 0.813

V_15C 0.041 0.036 1.139 0.255 0.111 0.053

g.16 =~

L1_16C 0.119 0.008 14.241 0.000 0.235 0.380

L2_16C 1.482 0.078 19.046 0.000 2.942 0.597

E1_16C 1.598 0.071 22.633 0.000 3.173 0.822

E2_16C 3.118 0.142 21.910 0.000 6.192 0.775

E4_16C 0.569 0.100 5.680 0.000 1.130 0.321

E3_16C 0.247 0.020 12.549 0.000 0.491 0.394

E5_16C 2.270 0.215 10.542 0.000 4.508 0.298

V_16C 0.725 0.034 21.429 0.000 1.441 0.686

INT.16 =~

L1_16C 0.064 0.056 1.136 0.256 0.411 0.663

L2_16C 0.307 0.260 1.185 0.236 1.971 0.400

V_16C 0.098 0.084 1.169 0.242 0.629 0.299

EXT.16 =~

E1_16C 0.091 0.049 1.862 0.063 0.202 0.052

E2_16C -0.166 0.095 -1.741 0.082 -0.370 -0.046

E3_16C 0.017 0.015 1.123 0.262 0.037 0.030

E4_16C 0.268 0.058 4.606 0.000 0.598 0.170

E5_16C 5.490 0.418 13.143 0.000 12.249 0.810

V_16C 0.009 0.020 0.459 0.646 0.020 0.010

g.17 =~

L1_17C 0.139 0.009 16.278 0.000 0.251 0.389

L2_17C 1.735 0.077 22.552 0.000 3.133 0.629

E1_17C 1.774 0.073 24.433 0.000 3.203 0.820

E2_17C 3.615 0.151 23.918 0.000 6.527 0.801

E4_17C 0.511 0.064 7.985 0.000 0.922 0.443

E3_17C 0.328 0.024 13.748 0.000 0.592 0.410

E5_17C 2.650 0.238 11.115 0.000 4.784 0.310

V_17C 0.764 0.032 23.616 0.000 1.379 0.682

INT.17 =~

L1_17C 0.168 0.021 8.119 0.000 0.404 0.625

L2_17C 0.810 0.117 6.946 0.000 1.952 0.392

V_17C 0.247 0.037 6.672 0.000 0.594 0.294

EXT.17 =~

E1_17C 0.077 0.053 1.458 0.145 0.164 0.042

E2_17C -0.257 0.098 -2.631 0.009 -0.548 -0.067

E3_17C 0.063 0.019 3.278 0.001 0.134 0.093

E4_17C 0.156 0.044 3.570 0.000 0.333 0.160

E5_17C 5.975 0.425 14.051 0.000 12.728 0.825

V_17C 0.023 0.022 1.074 0.283 0.049 0.024

g.18 =~

L1_18C 0.355 0.021 17.009 0.000 0.583 0.528

L2_18C 1.966 0.089 22.097 0.000 3.228 0.722

E1_18C 1.930 0.076 25.410 0.000 3.170 0.806

E2_18c 4.113 0.181 22.704 0.000 6.753 0.844

E4_18C 0.543 0.092 5.925 0.000 0.891 0.411

E3_18C 0.347 0.026 13.248 0.000 0.570 0.377

E5_18C 3.849 0.310 12.429 0.000 6.320 0.354

V_18C 0.771 0.034 22.820 0.000 1.265 0.640

INT.18 =~

L1_18C 0.451 0.034 13.332 0.000 0.680 0.616

L2_18C 1.144 0.081 14.203 0.000 1.723 0.386

V_18C 0.280 0.033 8.402 0.000 0.422 0.213

EXT.18 =~

E1_18C 0.010 0.065 0.160 0.873 0.020 0.005

E2_18c -0.306 0.101 -3.016 0.003 -0.577 -0.072

E3_18C 0.059 0.026 2.279 0.023 0.112 0.074

E4_18C 0.307 0.070 4.403 0.000 0.578 0.267

E5_18C 7.659 0.489 15.678 0.000 14.442 0.809

V_18C 0.030 0.029 1.044 0.296 0.057 0.029

g.19 =~

L1_19C 0.376 0.019 20.270 0.000 0.631 0.558

L2_19C 2.027 0.080 25.228 0.000 3.402 0.735

E1_19C 1.824 0.064 28.331 0.000 3.061 0.812

E2_19c 4.020 0.148 27.203 0.000 6.747 0.854

E4_19C 0.463 0.043 10.852 0.000 0.776 0.400

E3_19C 0.262 0.024 11.095 0.000 0.440 0.316

E5_19C 3.403 0.349 9.762 0.000 5.712 0.321

V_19C 0.795 0.030 26.651 0.000 1.334 0.676

INT.19 =~

L1_19C 0.360 0.041 8.767 0.000 0.704 0.623

L2_19C 0.914 0.097 9.405 0.000 1.786 0.386

V_19C 0.218 0.028 7.725 0.000 0.426 0.216

EXT.19 =~

E1_19C 0.051 0.040 1.283 0.200 0.159 0.042

E2_19c -0.042 0.061 -0.680 0.497 -0.129 -0.016

E3_19C 0.032 0.015 2.098 0.036 0.100 0.072

E4_19C 0.198 0.044 4.492 0.000 0.611 0.315

E5_19C 4.660 0.985 4.730 0.000 14.417 0.809

V_19C 0.014 0.017 0.833 0.405 0.045 0.023

g.20 =~

L1_20C 0.408 0.024 16.991 0.000 0.708 0.604

L2_20C 0.670 0.039 17.191 0.000 1.161 0.607

E1_20C 1.853 0.091 20.409 0.000 3.213 0.821

E2_20C 3.985 0.192 20.811 0.000 6.909 0.837

E4_20C 0.349 0.050 6.998 0.000 0.605 0.356

E3_20C 0.230 0.026 8.813 0.000 0.398 0.296

E5_20C 1.907 0.346 5.507 0.000 3.306 0.245

V_20C 0.853 0.044 19.215 0.000 1.478 0.712

INT.20 =~

L1_20C 0.380 0.064 5.962 0.000 0.726 0.619

L2_20C 0.331 0.054 6.130 0.000 0.631 0.330

V_20C 0.233 0.044 5.283 0.000 0.446 0.215

EXT.20 =~

E1_20C 0.109 0.065 1.675 0.094 0.252 0.064

E2_20C -0.032 0.094 -0.341 0.733 -0.074 -0.009

E3_20C 0.052 0.023 2.298 0.022 0.121 0.090

E4_20C 0.232 0.072 3.244 0.001 0.536 0.315

E5_20C 4.623 1.528 3.027 0.002 10.658 0.791

V_20C 0.056 0.029 1.923 0.055 0.130 0.063

Regressions:

Estimate Std.Err z-value P(>|z|) Std.lv Std.all

g.20 ~

g.19 0.844 0.048 17.479 0.000 0.817 0.817

g.19 ~

g.18 0.821 0.037 22.224 0.000 0.803 0.803

g.18 ~

g.17 0.721 0.040 17.935 0.000 0.793 0.793

g.17 ~

g.16 0.757 0.041 18.252 0.000 0.833 0.833

g.16 ~

g.15 0.973 0.055 17.734 0.000 0.864 0.864

g.15 ~

g.14 1.451 0.071 20.525 0.000 0.823 0.823

INT.20 ~

INT.19 0.832 0.163 5.099 0.000 0.852 0.852

INT.19 ~

INT.18 1.114 0.151 7.391 0.000 0.859 0.859

INT.18 ~

INT.17 0.468 0.074 6.362 0.000 0.748 0.748

INT.17 ~

INT.16 0.342 0.310 1.103 0.270 0.910 0.910

INT.16 ~

INT.15 0.735 2.073 0.355 0.723 0.988 0.988

INT.15 ~

INT.14 8.555 22.131 0.387 0.699 0.993 0.993

EXT.20 ~

EXT.19 0.671 0.253 2.656 0.008 0.901 0.901

EXT.19 ~

EXT.18 1.553 0.348 4.466 0.000 0.946 0.946

EXT.18 ~

EXT.17 0.750 0.071 10.552 0.000 0.848 0.848

EXT.17 ~

EXT.16 0.843 0.093 9.099 0.000 0.883 0.883

EXT.16 ~

EXT.15 0.742 0.546 1.359 0.174 0.894 0.894

EXT.15 ~

EXT.14 2.497 2.114 1.181 0.238 0.928 0.928

Covariances:

Estimate Std.Err z-value P(>|z|) Std.lv Std.all

.V_14C ~~

.V_15C 0.497 0.083 6.007 0.000 0.497 0.256

.V_15C ~~

.V_16C 0.445 0.072 6.163 0.000 0.445 0.223

.V_16C ~~

.V_17C 0.578 0.062 9.341 0.000 0.578 0.306

.V_17C ~~

.V_18C 0.525 0.064 8.190 0.000 0.525 0.266

.V_18C ~~

.V_19C 0.643 0.069 9.364 0.000 0.643 0.317

.V_19C ~~

.V_20C 0.655 0.068 9.598 0.000 0.655 0.341

g.14 ~~

INT.14 0.000 0.000 0.000

EXT.14 0.000 0.000 0.000

INT.14 ~~

EXT.14 0.000 0.000 0.000

.g.20 ~~

.INT.20 0.000 0.000 0.000

.EXT.20 0.000 0.000 0.000

.INT.20 ~~

.EXT.20 0.000 0.000 0.000

Intercepts:

Estimate Std.Err z-value P(>|z|) Std.lv Std.all

.L1_14C 0.464 0.013 36.600 0.000 0.464 0.773

.L2_14C 7.622 0.105 72.570 0.000 7.622 1.526

.E1_14C 5.512 0.087 63.444 0.000 5.512 1.364

.E2_14C 13.887 0.171 81.325 0.000 13.887 1.741

.E4_14C 1.733 0.356 4.874 0.000 1.733 0.117

.E3_14C 6.041 0.032 188.339 0.000 6.041 4.077

.E5_14C 32.475 0.319 101.748 0.000 32.475 2.210

.V_14C 2.328 0.055 42.645 0.000 2.328 1.117

.L1_15C 0.497 0.014 36.410 0.000 0.497 0.771

.L2_15C 7.332 0.105 69.556 0.000 7.332 1.475

.E1_15C 5.561 0.087 64.161 0.000 5.561 1.384

.E2_15C 13.833 0.174 79.572 0.000 13.833 1.706

.E4_15C 1.373 0.074 18.602 0.000 1.373 0.413

.E3_15C 5.910 0.031 193.670 0.000 5.910 4.239

.E5_15C 35.987 0.331 108.568 0.000 35.987 2.365

.V_15C 2.365 0.048 48.865 0.000 2.365 1.133

.L1_16C 0.490 0.013 37.003 0.000 0.490 0.790

.L2_16C 6.973 0.106 66.030 0.000 6.973 1.414

.E1_16C 5.123 0.084 61.190 0.000 5.123 1.327

.E2_16C 13.083 0.172 75.958 0.000 13.083 1.638

.E4_16C 1.199 0.138 8.665 0.000 1.199 0.341

.E3_16C 5.695 0.028 206.182 0.000 5.695 4.567

.E5_16C 38.493 0.333 115.564 0.000 38.493 2.546

.V_16C 2.262 0.045 50.233 0.000 2.262 1.077

.L1_17C 0.518 0.014 37.048 0.000 0.518 0.801

.L2_17C 6.583 0.108 61.020 0.000 6.583 1.321

.E1_17C 4.821 0.085 56.692 0.000 4.821 1.235

.E2_17C 12.321 0.176 69.841 0.000 12.321 1.512

.E4_17C 0.935 0.071 13.208 0.000 0.935 0.449

.E3_17C 5.784 0.032 178.614 0.000 5.784 4.004

.E5_17 42.225 0.336 125.570 0.000 42.225 2.737

.V_17C 2.073 0.044 47.267 0.000 2.073 1.025

.L1_18C 1.411 0.024 59.595 0.000 1.411 1.278

.L2_18C 6.053 0.096 63.316 0.000 6.053 1.355

.E1_18C 4.944 0.084 58.605 0.000 4.944 1.257

.E2_18C 12.280 0.171 71.867 0.000 12.280 1.535

.E4_18C 0.908 0.082 11.047 0.000 0.908 0.418

.E3_18C 5.806 0.033 175.390 0.000 5.806 3.840

.E5_18 50.598 0.419 120.786 0.000 50.598 2.833

.V_18C 1.870 0.043 43.872 0.000 1.870 0.946

.L1_19C 1.441 0.024 60.186 0.000 1.441 1.274

.L2_19C 6.309 0.098 64.380 0.000 6.309 1.364

.E1_19C 4.512 0.080 56.221 0.000 4.512 1.197

.E2_19C 12.007 0.168 71.513 0.000 12.007 1.520

.E4_19C 0.927 0.047 19.849 0.000 0.927 0.478

.E3_19C 5.687 0.030 189.403 0.000 5.687 4.087

.E5_19C 54.224 0.472 114.965 0.000 54.224 3.045

.V_19C 1.860 0.042 43.982 0.000 1.860 0.943

.L1_20C 1.502 0.027 55.411 0.000 1.502 1.282

.L2_20C 1.348 0.046 29.573 0.000 1.348 0.705

.E1_20C 4.655 0.092 50.866 0.000 4.655 1.189

.E2_20C 12.377 0.192 64.519 0.000 12.377 1.499

.E4_20C 0.929 0.054 17.360 0.000 0.929 0.546

.E3_20C 5.642 0.033 169.467 0.000 5.642 4.192

.E5_20C 54.843 0.483 113.435 0.000 54.843 4.072

.V_20C 1.904 0.048 39.315 0.000 1.904 0.917

g.14 0.000 0.000 0.000

INT.14 0.000 0.000 0.000

EXT.14 0.000 0.000 0.000

.g.15 0.000 0.000 0.000

.INT.15 0.000 0.000 0.000

.EXT.15 0.000 0.000 0.000

.g.16 0.000 0.000 0.000

.INT.16 0.000 0.000 0.000

.EXT.16 0.000 0.000 0.000

.g.17 0.000 0.000 0.000

.INT.17 0.000 0.000 0.000

.EXT.17 0.000 0.000 0.000

.g.18 0.000 0.000 0.000

.INT.18 0.000 0.000 0.000

.EXT.18 0.000 0.000 0.000

.g.19 0.000 0.000 0.000

.INT.19 0.000 0.000 0.000

.EXT.19 0.000 0.000 0.000

.g.20 0.000 0.000 0.000

.INT.20 0.000 0.000 0.000

.EXT.20 0.000 0.000 0.000

Variances:

Estimate Std.Err z-value P(>|z|) Std.lv Std.all

.L1_14C 0.191 0.013 15.091 0.000 0.191 0.529

.L2_14C 12.274 0.599 20.504 0.000 12.274 0.492

.E1_14C 4.824 0.310 15.552 0.000 4.824 0.295

.E2_14C 23.187 1.297 17.877 0.000 23.187 0.365

.E4_14C 214.130 206.818 1.035 0.301 214.130 0.981

.E3_14C 1.777 0.091 19.452 0.000 1.777 0.809

.E5_14C 85.796 26.723 3.211 0.001 85.796 0.397

.V_14C 1.838 0.112 16.449 0.000 1.838 0.423

.L1_15C 0.175 0.014 12.711 0.000 0.175 0.422

.L2_15C 12.102 0.616 19.648 0.000 12.102 0.490

.E1_15C 5.166 0.325 15.918 0.000 5.166 0.320

.E2_15C 24.316 1.409 17.261 0.000 24.316 0.370

.E4_15C 9.035 2.830 3.193 0.001 9.035 0.817

.E3_15C 1.580 0.090 17.637 0.000 1.580 0.812

.E5_15C 62.883 4.771 13.179 0.000 62.883 0.272

.V_15C 2.047 0.103 19.852 0.000 2.047 0.470

.L1_16C 0.160 0.012 12.951 0.000 0.160 0.416

.L2_16C 11.763 0.623 18.885 0.000 11.763 0.484

.E1_16C 4.807 0.253 18.994 0.000 4.807 0.322

.E2_16C 25.336 1.472 17.217 0.000 25.336 0.397

.E4_16C 10.738 4.866 2.207 0.027 10.738 0.868

.E3_16C 1.312 0.087 15.017 0.000 1.312 0.844

.E5_16C 58.140 4.558 12.757 0.000 58.140 0.254

.V_16C 1.941 0.082 23.642 0.000 1.941 0.440

.L1_17C 0.191 0.015 12.844 0.000 0.191 0.458

.L2_17C 11.205 0.638 17.568 0.000 11.205 0.451

.E1_17C 4.956 0.293 16.927 0.000 4.956 0.325

.E2_17C 23.484 1.402 16.755 0.000 23.484 0.354

.E4_17C 3.376 0.587 5.750 0.000 3.376 0.778

.E3_17C 1.719 0.098 17.620 0.000 1.719 0.824

.E5_17C 53.043 4.831 10.981 0.000 53.043 0.223

.V_17C 1.836 0.081 22.740 0.000 1.836 0.448

.L1_18C 0.416 0.032 13.104 0.000 0.416 0.341

.L2_18C 6.574 0.326 20.136 0.000 6.574 0.329

.E1_18C 5.430 0.357 15.214 0.000 5.430 0.351

.E2_18C 18.065 1.507 11.987 0.000 18.065 0.282

.E4_18C 3.578 0.662 5.404 0.000 3.578 0.760

.E3_18C 1.949 0.118 16.568 0.000 1.949 0.852

.E5_18 70.436 7.457 9.445 0.000 70.436 0.221

.V_18C 2.127 0.086 24.691 0.000 2.127 0.544

.L1_19C 0.384 0.033 11.595 0.000 0.384 0.300

.L2_19C 6.646 0.351 18.954 0.000 6.646 0.310

.E1_19C 4.807 0.292 16.479 0.000 4.807 0.339

.E2_19c 16.845 1.238 13.607 0.000 16.845 0.270

.E4_19C 2.795 0.325 8.597 0.000 2.795 0.741

.E3_19C 1.733 0.127 13.635 0.000 1.733 0.895

.E5_19C 76.727 10.128 7.576 0.000 76.727 0.242

.V_19C 1.931 0.082 23.650 0.000 1.931 0.496

.L1_20C 0.345 0.047 7.384 0.000 0.345 0.251

.L2_20C 1.914 0.100 19.207 0.000 1.914 0.523

.E1_20C 4.938 0.421 11.717 0.000 4.938 0.322

.E2_20c 20.395 1.576 12.944 0.000 20.395 0.299

.E4_20C 2.245 0.323 6.959 0.000 2.245 0.775

.E3_20C 1.639 0.123 13.351 0.000 1.639 0.905

.E5_20C 56.876 14.895 3.819 0.000 56.876 0.314

.V_20C 1.913 0.095 20.179 0.000 1.913 0.444

g.14 1.000 1.000 1.000

INT.14 1.000 1.000 1.000

EXT.14 1.000 1.000 1.000

.g.15 1.000 0.322 0.322

.INT.15 1.000 0.013 0.013

.EXT.15 1.000 0.138 0.138

.g.16 1.000 0.254 0.254

.INT.16 1.000 0.024 0.024

.EXT.16 1.000 0.201 0.201

.g.17 1.000 0.307 0.307

.INT.17 1.000 0.172 0.172

.EXT.17 1.000 0.220 0.220

.g.18 1.000 0.371 0.371

.INT.18 1.000 0.440 0.440

.EXT.18 1.000 0.281 0.281

.g.19 1.000 0.355 0.355

.INT.19 1.000 0.262 0.262

.EXT.19 1.000 0.104 0.104

.g.20 1.000 0.333 0.333

.INT.20 1.000 0.274 0.274

.EXT.20 1.000 0.188 0.188

Amonet

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Jul 14, 2018, 4:43:41 PM7/14/18

to lavaan

I am not a 100% sure if it is the case, but you could check if the NAs are also given in the previous version of Lavaan. I experienced problems using the MLR estimator as of Lavaan version 0.6.

FYI: I did not check if it is in fact an issue because of your model, I don't think I am qualified for that ;).

To check if it's a version problem, you can install the previous version using:

library(devtools)

install_version("lavaan", version = "0.5-23.1097", repos = "http://cran.us.r-project.org")

kind regards

Amonet

Terrence Jorgensen

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Jul 15, 2018, 11:15:28 AM7/15/18

to lavaan

I thought this issue had been resolved in the development version.

http://lavaan.ugent.be/development.html

Terrence D. Jorgensen

Postdoctoral Researcher, Methods and Statistics

Research Institute for Child Development and Education, the University of Amsterdam

UvA web page: http://www.uva.nl/profile/t.d.jorgensen

Allie Choate

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Jul 15, 2018, 12:11:25 PM7/15/18

to lavaan

Thanks so much for the suggestion!

I just tried and loaded in the developmental lavaan version and still have the same issue unfortunately. I've tried with both MLR and ML estimation as well to no avail.

Allie Choate

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Jul 15, 2018, 12:50:19 PM7/15/18

to lavaan

Hi Amonet,

Thanks for the suggestion! I just tried that and still no luck unfortunately. It also then did not compute my standard errors as well when I switched back to the older version.

I'm thinking it might be something with how many parameters I'm estimating possibly...

Allie

Yves Rosseel

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Jul 15, 2018, 12:57:58 PM7/15/18

to lav...@googlegroups.com

It would seem the independence model failed to converge. It is hard to
tell why, without seeing the data. But it may be a combination of many
missing values, many variables, and scale differences.

To test for the latter, you could refit using std.ov = TRUE. If this
would work, then you know that 'scaling' of the variables is the issue.

Yves.

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Allie Choate

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Jul 16, 2018, 4:08:35 PM7/16/18

to lavaan

Dear Dr. Rosseel,

Thank you so much for your reply.

Your suggestion worked! It looks like the scaling of some of my variables were indeed the culprit.