Attachment | Size |
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TwoFactorModel.r [6] | 1.42 KB |
TwoFactor_Data.dat [7] | 3.66 KB |
Hi,
I'm trying to reproduce an analysis of a congeneric two- factor- model from a textbook and I can't figure out where I am going wrong. The model has two latent factors (selfevaluation and foreignevaluation scales) with three indicators each. The output I get looks like this:
> summary(congeneric)
free parameters:
[1] lbound ubound
<0 Zeilen> (oder row.names mit Länge 0)
observed statistics: 0
estimated parameters: 0
degrees of freedom: 0
-2 log likelihood: NA
saturated -2 log likelihood: NA
number of observations: 0
chi-square: NA
p: NA
Information Criteria:
df Penalty Parameters Penalty Sample-Size Adjusted
AIC: NA NA NA
BIC: NA NA NA
CFI: NA
TLI: NA
RMSEA: NA
timestamp: NULL
frontend time: NULL
backend time: NULL
independent submodels time: NULL
wall clock time: NULL
cpu time: NULL
openmx version number: NULL
I have tried all sorts of modifications to my code, but nothing helped. It seems like I must be overlooking something terribly important. I would really appreciate some help! I attached my code and the data.
Jens