I got the following warning message in my Modell 1:
Warning message:
In lav_data_full(data = data, group = group, cluster = cluster, :
lavaan WARNING: some observed variances are (at least) a factor 1000 times larger than others; use varTable(fit) to investigate
I am totally new with R, so I have no Plan how to fix it.
Does anyone have a suggestion?
In my Modell 2 I got ecen more Warnings:
Warning messages:
1: In lav_data_full(data = data, group = group, cluster = cluster, :
lavaan WARNING: some observed variances are (at least) a factor 1000 times larger than others; use varTable(fit) to investigate
2: In lav_model_vcov(lavmodel = lavmodel2, lavsamplestats = lavsamplestats, :
lavaan WARNING:
The variance-covariance matrix of the estimated parameters (vcov)
does not appear to be positive definite! The smallest eigenvalue
(= -7.794870e-02) is smaller than zero. This may be a symptom that
the model is not identified.
I would appreciate some help :)