Sammenlign metoder

	Robust Rasch-model	Rasch-modellen
Fagområde	Psykometri	Psykometri
Familie	Latent structure	Latent structure
Oprindelsesår	1982	1960
Ophavsperson	Mislevy & Bock (robust ability estimation); broader robust IRT formalized through 1980s–2000s	Georg Rasch
Type	Robust item calibration model	Item Response Theory / Latent trait model
Oprindelig kilde	Strobl, C., Wickelmaier, F., & Zeileis, A. (2011). Accounting for individual differences in Bradley-Terry models by means of recursive partitioning. Journal of Educational and Behavioral Statistics, 36(2), 135–153.	Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen.
Aliasser	robust IRT Rasch, robust dichotomous Rasch, outlier-resistant Rasch model, robust item calibration	1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
Relaterede	5	6
Resumé	The robust Rasch model applies the standard one-parameter logistic Rasch framework with estimation procedures designed to limit the influence of outlying item responses, aberrant respondents, or mild model violations, producing stable item and person parameter estimates that are less sensitive to data contamination than ordinary maximum likelihood or conditional maximum likelihood Rasch estimation.	The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons.