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IRT Approach for rating scales: applications for normal and non-normal distributions

Author

Listed:
  • Maud Dampérat

    (UL2 - Université Lumière - Lyon 2)

  • Ping Lei

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], INSEEC - Institut des hautes études économiques et commerciales | School of Business and Economics)

  • Florence Jeannot

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], INSEEC - Institut des hautes études économiques et commerciales | School of Business and Economics)

Abstract

In administrative sciences, one of the main challenge is to choose the right items for a measurement scale. The purpose of this article is to provide marketing researchers a detailed description of item response theory (IRT) for rating scales. It details the different stages of IRT using the graded response model (GRM) on two rating scales (need for cognition and satisfaction). IRT approach offers a notable advantage due to its ability to precisely assess the quality and the contribution of each of the items to the latent trait. GRM could be used either as a complement or a substitute to the confirmatory factor analysis (CFA), especially for non-normal distributed scales.

Suggested Citation

  • Maud Dampérat & Ping Lei & Florence Jeannot, 2019. "IRT Approach for rating scales: applications for normal and non-normal distributions," Post-Print hal-04325043, HAL.
    • Handle: RePEc:hal:journl:hal-04325043
    Note: View the original document on HAL open archive server: https://hal.science/hal-04325043
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    References listed on IDEAS

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