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An Evaluation of Common Method Variance-Bias in Psychology

Author

Listed:
  • Leila Karimi
  • Denny Meyer

Abstract

This study demonstrated a novel procedure for assessing the significance of common method bias (CMB) using SEM. It appears that CMB has a marked effect on the reliability of the measurement models. A new procedure using covariate-based reliability was proposed for assessing the effects of CMB on the reliability of a model. Further SEM analysis using marker variable procedure supports the presence of CMB in this study. This seems to be an interesting area to be explored in further research.

Suggested Citation

  • Leila Karimi & Denny Meyer, 2019. "An Evaluation of Common Method Variance-Bias in Psychology," International Journal of Psychological Studies, Canadian Center of Science and Education, vol. 11(3), pages 1-83, September.
    • Handle: RePEc:ibn:ijpsjl:v:11:y:2019:i:3:p:83
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    File URL: https://ccsenet.org/journal/index.php/ijps/article/view/0/40581
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    References listed on IDEAS

    as
    1. Peter M. Bentler, 2016. "Covariate-free and Covariate-dependent Reliability," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 907-920, December.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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