The use of item parcels in structural equation modelling: non-normal data and small sample sizes.

@article{Hau2004TheUO,
  title={The use of item parcels in structural equation modelling: non-normal data and small sample sizes.},
  author={Ka-lam Hau and Herbert W. Marsh},
  journal={The British journal of mathematical and statistical psychology},
  year={2004},
  volume={57 Pt 2},
  pages={
          327-51
        }
}
Maximum likelihood estimation in confirmatory factor analysis requires large sample sizes, normally distributed item responses, and reliable indicators of each latent construct, but these ideals are rarely met. We examine alternative strategies for dealing with non-normal data, particularly when the sample size is small. In two simulation studies, we systematically varied: the degree of non-normality; the sample size from 50 to 1000; the way of indicator formation, comparing items versus… CONTINUE READING
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