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

Maud Dampérat (), Ping Lei and Florence Jeannot ()
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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

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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.

Keywords: Item Response Theory (IRT); Graded Response Model (GRM); Rating Scale; Classical Test Theory (CCT); Measurement Theory; Item Response Theory (IRT) Graded Response Model (GRM) Rating Scale Classical Test Theory (CCT) Measurement Theory (search for similar items in EconPapers)
Date: 2019
Note: View the original document on HAL open archive server: https://hal.science/hal-04325043v1
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Published in Méthodes de recherche innovantes et alternatives en économie et gestion / Innovative and alternative research methods in economics and business administration In A. BARTEL-RADIC (Ed),, pp.95-118, 2019

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