Estimating ωh for structures containing two group factors: Perils and prospects

Richard E. Zinbarg*, William Revelle, Iftah Yovel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

One of the most serious difficulties in the estimation of omega hierarchicalh) has not been previously studied. Although it is true that one can impose a set of identifying constraints on one's solution to derive an estimate of ωh in the two-group factor case, there is the potential for introducing bias into the process of estimating ωh, depending on the extent to which one's set of identifying constraints corresponds to the structure that actually underlies the scale. The authors demonstrate that this potential bias is only considerable when the ratio of the covariance between items loading on different group factors to the covariance between items loading on the same group factor is low. Four methods for estimating ωh are compared to each other, and the results suggest that Cronbach's alpha and a method based on the first unrotated principal factor should be rejected as estimates of ωh.

Original languageEnglish (US)
Pages (from-to)135-157
Number of pages23
JournalApplied Psychological Measurement
Volume31
Issue number2
DOIs
StatePublished - Mar 2007

Keywords

  • Bias
  • Covariance
  • Hierarchical factor model
  • Omega
  • ω

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Psychology (miscellaneous)

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