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A note on the implications of factorial invariance for common factor variable equivalence

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  • Michael Maraun
  • Moritz Heene

Abstract

There has come to exist within the psychometric literature a generalized belief to the effect that a determination of the level of factorial invariance that holds over a set of k populations Δj, j = 1..s, is central to ascertaining whether or not the common factor random variables ξj, j = 1..s, are equivalent. In the current manuscript, a technical examination of this belief is undertaken. The chief conclusion of the work is that, as long as technical, statistical senses of random variable equivalence are adhered to, the belief is unfounded.

Suggested Citation

  • Michael Maraun & Moritz Heene, 2016. "A note on the implications of factorial invariance for common factor variable equivalence," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 45(14), pages 4181-4193, July.
    • Handle: RePEc:taf:lstaxx:v:45:y:2016:i:14:p:4181-4193
    DOI: 10.1080/03610926.2014.917186
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