Hello ResearchGate community,

I have been working on a series of SEMs as a part of my PhD. All of them seem to be running smoothly, but I am not being able to obtain decent measures of model fitness (I'm focusing on chisquare, CFI, BIC e RMSEA) for some of them. I copied one of these models bellow. So far, I have tried all of the resources I could think of: I increased and decreased the number of indicators on my latent variables, I removed latent variables and used the indicators directly in the regressions, I removed outliers and I also changed the order of indicators in each one of my latent variables. Would anyone around here be able to spot something that might be triggering these low values of model fitness?

Some extra information on the model: response variable is categorical and has two levels only. All other variables are continuous and have been put in the same scale.

A big thank you to you all,

Pedro Miranda

Model:

model1 |z|) Std.lv Std.all

soil ~

climate 0.529 0.187 2.828 0.005 0.522 0.522

FireLOG ~

climate 0.446 0.156 2.862 0.004 0.405 0.355

Biome ~

climate 0.198 0.075 2.623 0.009 0.179 0.470

soil 0.034 0.053 0.643 0.520 0.031 0.082

FireLOG -0.085 0.037 -2.295 0.022 -0.085 -0.253

SB ~

cwdLOG -0.085 0.241 -0.353 0.724 -0.085 -0.031

Al.cmol. 0.200 0.579 0.345 0.730 0.200 0.076

DroughtLOG -0.160 0.092 -1.740 0.082 -0.160 -0.146

Covariances:

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

.SB ~~

.FireLOG 0.310 0.200 1.553 0.120 0.310 0.195

.SandLOG ~~

.SB -0.939 0.236 -3.986 0.000 -0.939 -0.624

.Al.cmol. ~~

.DroughtLOG -0.204 0.215 -0.949 0.343 -0.204 -0.111

.SandLOG ~~

.DroughtLOG 1.059 0.320 3.307 0.001 1.059 0.415

.DroughtLOG ~~

.FireLOG 0.657 0.297 2.216 0.027 0.657 0.244

.cwdLOG 0.310 0.166 1.864 0.062 0.310 0.178

Variances:

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

.pH 0.198 0.101 1.966 0.049 0.198 0.190

.SandLOG 1.016 0.175 5.819 0.000 1.016 0.985

.P.totalLOG 0.338 0.058 5.825 0.000 0.338 0.987

.Al.cmol. 0.526 0.134 3.937 0.000 0.526 0.424

.SB 2.231 1.018 2.191 0.028 2.231 0.258

.DroughtLOG 6.407 1.060 6.046 0.000 6.407 0.886

.mapLOG -0.021 0.009 -2.386 0.017 -0.021 -0.161

.cwdLOG 0.471 0.085 5.531 0.000 0.471 0.398

.MnTmpCldMntLOG 0.014 0.002 6.055 0.000 0.014 0.634

.FireLOG 1.135 0.190 5.979 0.000 1.135 0.874

.Biome 0.110 0.018 6.069 0.000 0.110 0.760

.soil 0.616 0.146 4.226 0.000 0.728 0.728

climate 0.824 0.503 1.640 0.101 1.000 1.000

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