This article shows that the recently proposed latent D-scoring model of Dimitrov is statistically equivalent to the two-parameter logistic item response model. An analytical derivation and a numerical illustration are employed for demonstrating this finding. Hence, estimation techniques for the two-parameter logistic model can be used for estimating the latent D-scoring model. In an empirical example using PISA data, differences of country ranks are investigated when using different metrics for the latent trait. In the example, the choice of the latent trait metric matters for the ranking of countries. Finally, it is argued that an item response model with bounded latent trait values like the latent D-scoring model might have advantages for reporting results in terms of interpretation.
Original languageEnglish
Article number1465
Issue number13
Number of pages17
Publication statusPublished - 22.06.2021
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    Research areas

  • latent D-scoring model, logistic item response model, identifiability, item parameter estimation, PISA, TRENDS

ID: 1658317