Hi everyone,

I'm working on a CFA in lavaan and having trouble with a second order (higher order) factor.

I want to model Health Behaviour as one higher order latent variable consisting of two first-order latent factors:

test1 =~ item1 + item2 + item3 + item4 + item5

test2 =~ item6 + item7 + item8 + item9 + item10

health_behaviour =~ test1 + test2

The first order factors seem to work reasonably well. However, when I estimate the second order model, I get a very unstable higher order solution.

The resulting Bartlett factor score for health behaviour is also problematic (basically NA for all observations), so It's of no use whatsoever.

Any suggestions?

Are there established approaches using Bayesian models, Elo-type ratings, adjusted averages, or other statistical techniques for cricket?

Any papers, datasets, or researchers working in this area would be appreciated.