2021
DOI: 10.20944/preprints202105.0699.v1
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About the Equivalence of the Latent D-Scoring Model and the Two-Parameter Logistic Item Response Model

Abstract: 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 trai… Show more

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Cited by 6 publications
(2 citation statements)
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“…As a side note, as shown by Robitzsch (2021), the latent RFM2 model in Equation 1 is theoretically equivalent (at population level) to the two-parameter logistic (2PL) model in IRT (e.g., Hambleton et al, 1991) bounded to the scale interval [0-1]; (at sample level, however, the 2PL realization of the RFM2 is complicated by practically inconvenient restrictions).…”
Section: Response Vector For Mastery Methods Of Standard Settingmentioning
confidence: 98%
“…As a side note, as shown by Robitzsch (2021), the latent RFM2 model in Equation 1 is theoretically equivalent (at population level) to the two-parameter logistic (2PL) model in IRT (e.g., Hambleton et al, 1991) bounded to the scale interval [0-1]; (at sample level, however, the 2PL realization of the RFM2 is complicated by practically inconvenient restrictions).…”
Section: Response Vector For Mastery Methods Of Standard Settingmentioning
confidence: 98%
“…The latent normality assumption in ordinal FA is, unfortunately, often taken for granted, but it can be tested [18]. More flexible distributions could be identified from data (e.g., [19]). However, such a data-driven approach remains atheoretical, and it is questionable whether measurement models with more flexibly estimated distributions would be more appropriate and provide more valid results.…”
Section: Recurring Call For Ordinal Factor Analysismentioning
confidence: 99%