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

(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