这是我的模型和我遇到的错误。我也在结果中得到 NA。
model <- '
accessibilité =~ desser_transp2+zone3
littératie =~ lit_form_med + lit_suivre_inst + lit_lire_sante + lit_lire_medoc + lit_aide_doc_admi
attitudes =~ favor_vaccin2 + refus_vaccin2
discrimination =~ violence2 + violence_circonst2
vacci_ROR_yn ~ accessibilité + littératie + attitudes + discrimination
accessibilité ~~ discrimination
littératie ~~ attitudes
'
fit <- cfa(model, data=GDV,estimator="WLSMV", std.lv = TRUE)
Warning messages:
1: In lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, :
lavaan WARNING:
The variance-covariance matrix of the estimated parameters (vcov)
does not appear to be positive definite! The smallest eigenvalue
(= 4.153749e-19) is close to zero. This may be a symptom that the
model is not identified.
2: In lav_object_post_check(object) :
lavaan WARNING: some estimated ov variances are negative
“似乎不是肯定的意思”是什么意思？