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Correction for measurement error in invariance testing: An illustration using SQP

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  • André Pirralha
  • Wiebke Weber

Abstract

With the increasing availability of cross-national data, more attention has been given to the issue of comparability. But while a lot of emphasis has been directed to the assessment of measurement invariance, there has been substantially less concern on how measurement error can affect the results of measurement invariance testing. In this study, we show how correction for measurement error can be applied to measurement invariance analysis. We illustrate this using the concept of “Perceived ethnic threat” measured in the European Social Survey Round 3 (2006). The measurement invariance results before and after correction for measurement error are compared. We show that correction for measurement error offers a viable way to ensure that non-invariant parameters are actually caused by differences in the data and not caused by the measurement method.

Suggested Citation

  • André Pirralha & Wiebke Weber, 2020. "Correction for measurement error in invariance testing: An illustration using SQP," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    • Handle: RePEc:plo:pone00:0239421
    DOI: 10.1371/journal.pone.0239421
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    1. Gerbing, David W & Anderson, James C, 1984. "On the Meaning of Within-Factor Correlated Measurement Errors," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 572-580, June.
    2. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    3. Holger Steinmetz & Peter Schmidt & Andrea Tina-Booh & Siegrid Wieczorek & Shalom Schwartz, 2009. "Testing measurement invariance using multigroup CFA: differences between educational groups in human values measurement," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(4), pages 599-616, July.
    4. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    5. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    6. Willem E. Saris & Melanie Revilla, 2016. "Correction for Measurement Errors in Survey Research: Necessary and Possible," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1005-1020, July.
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