The Rasch model as a loglinear model

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The Rasch model as a loglinear model

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Mellenbergh, Gideon J.

Vijn, Pieter

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1981

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Abstract

The Rasch model is formulated as a loglinear model. The goodness of fit and parameter estimates of the Rasch model can be obtained using the iterative proportional fitting algorithm for loglinear models. It is shown in an example that the relation between the estimates of the iterative proportional fitting algorithm and the unconditional maximum likelihood Rasch algorithm are almost perfectly linear. The Rasch model can be extended with a design for the items, which can be formulated as a loglinear model.

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Applied Psychological Measurement, Volume 05, 1981

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Mellenbergh, Gideon J & Vijn, Pieter. (1981). The Rasch model as a loglinear model. Applied Psychological Measurement, 5, 369-376. doi:10.1177/014662168100500310

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Mellenbergh, Gideon J.; Vijn, Pieter. (1981). The Rasch model as a loglinear model. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/100412.

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