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The asymptotic distribution of a goodness of fit statistic for factorial invariance

Author

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  • Chen, K. H.
  • Robinson, J.

Abstract

Suppose that random factor models with k factors are assumed to hold for m, p-variate populations. A model for factorial invariance has been proposed wherein the covariance or correlation matrices can be written as [Sigma]i = LCiL' + [sigma]i2I, where Ci is the covariance matrix of factor variables and L is a common factor loading matrix, i = 1,..., m. Also a goodness of fit statistic has been proposed for this model. The asymptotic distribution of this statistic is shown to be that of a quadratic form in normal variables. An approximation to this distribution is given and thus a test for goodness of fit is derived. The problem of dimension is considered and a numerical example is given to illustrate the results.

Suggested Citation

  • Chen, K. H. & Robinson, J., 1985. "The asymptotic distribution of a goodness of fit statistic for factorial invariance," Journal of Multivariate Analysis, Elsevier, vol. 17(1), pages 76-83, August.
  • Handle: RePEc:eee:jmvana:v:17:y:1985:i:1:p:76-83
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