Arbeitspapier

Testing for Measurement Invariance with Respect to an Ordinal Variable

Researchers are often interested in testing for measurement invariance with respect to an ordinal auxiliary variable such as age group, income class, or school grade. In a factor-analytic context, these tests are traditionally carried out via a likelihood ratio test statistic comparing a model where parameters differ across groups to a model where parameters are equal across groups. This test neglects the fact that the auxiliary variable is ordinal, and it is also known to be overly sensitive at large sample sizes. In this paper, we propose test statistics that explicitly account for the ordinality of the auxiliary variable, resulting in higher power against monotonic violations of measurement invariance and lower power against non-monotonic ones. The statistics are derived from a family of tests based on stochastic processes that have recently received attention in the psychometric literature. The statistics are illustrated via an application involving real data, and their performance is studied via simulation.

Language
Englisch

Bibliographic citation
Series: Working Papers in Economics and Statistics ; No. 2012-24

Classification
Wirtschaft
Multiple or Simultaneous Equation Models; Multiple Variables: General
Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
Model Evaluation, Validation, and Selection
Subject
measurement invariance
ordinal variable
parameter stability
factor analysis
structural equation models

Event
Geistige Schöpfung
(who)
Merkle, Edgar C.
Fan, Jinyan
Zeileis, Achim
Event
Veröffentlichung
(who)
University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon)
(where)
Innsbruck
(when)
2012

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Merkle, Edgar C.
  • Fan, Jinyan
  • Zeileis, Achim
  • University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon)

Time of origin

  • 2012

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