, Volume 58, Issue 4, pp 525–543

Measurement invariance, factor analysis and factorial invariance

  • William Meredith

DOI: 10.1007/BF02294825

Cite this article as:
Meredith, W. Psychometrika (1993) 58: 525. doi:10.1007/BF02294825


Several concepts are introduced and defined: measurement invariance, structural bias, weak measurement invariance, strong factorial invariance, and strict factorial invariance. It is shown that factorial invariance has implications for (weak) measurement invariance. Definitions of fairness in employment/admissions testing and salary equity are provided and it is argued that strict factorial invariance is required for fairness/equity to exist. Implications for item and test bias are developed and it is argued that item or test bias probably depends on the existence of latent variables that are irrelevant to the primary goal of test constructers.

Key words

measurement invariance test bias item bias factor analysis factorial invariance selection group differences fairness equity 

Copyright information

© The Psychometric Society 1993

Authors and Affiliations

  • William Meredith
    • 1
  1. 1.Department of PsychologyUniversity of CaliforniaBerkeley

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