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Table 5 Model goodness-of-fit comparison between latent variable SEM and repeated measures ANOVA approach of Faecalibacterium based on four measurements (Sanger, 454 pyrosequencing V1V3, 454 pyrosequencing V3V5 and qPCR)

From: Comparative analysis of microbiome measurement platforms using latent variable structural equation modeling

MODEL MODEL CONSTRAINT GOODNESS-OF-FIT
A: Latent variable SEM set only λ1 = 1 Chi-square 5.089 (df = 2) Pr > χ2: 0.079
RMSEA 0.105
CFI 0.994
B: Equivalent to repeated measures ANOVA (multivariate approach) set all indicator path coefficient λi ≡ 1 (i = 1, 2, 3, 4) Chi-square 129.955 (df = 5) Pr > χ2: < .001
RMSEA 0.421
CFI 0.750
C: Equivalent to repeated measures ANOVA (univariate approach) set all indicator path coefficient λi ≡ 1; set all indicator error variances to be equal, var (εi) ≡ σ2 (i = 1, 2, 3, 4) Chi-square 172.068 (df = 8) Pr > χ2: < .001
RMSEA 0.381
CFI 0.671