Many-Facet Rasch Model

Research Method · All research methods
Evidence · 4 claims (4 for) · 1 study (1 associational), q3 · 0 of 1 report an effect size · 4 claims rest on one study

Description

MFRM, developed by Linacre in 1989 as an extension of the partial credit model, is an IRT model in which "all so urces of variability , such as raters, items and persons, which have the potential to influence measurement results , are considered simultaneously". It places all facets on a common logit metric, detects rater errors such as halo effects and central tendency, provides separate standard errors per facet element, and estimates abilities and item parameters independently when model-data fit is attained.

Accounts

• Many-Facet Rasch Model (MFRM): MFRM, developed by Linacre in 1989 as an extension of the partial credit model, is an IRT model in which "all so urces of variability , such as raters, items and persons, which have the potential to influence measurement results , are considered simultaneously". It places all facets on a common logit metric, detects rater errors such as halo effects and central tendency, provides separate standard errors per facet element, and estimates abilities and item parameters independently when model-data fit is attained. (Ilhan et al. (2018))

Claims

• Raters differed significantly in severity/leniency in the MFRM analysis [+M]
• CTT and MFRM yield a positive, perfect correlation between item difficulty indices for open-ended items under a crossed design [+M]
• CTT and MFRM yield similar item difficulty results for open-ended questions regardless of crossed or nested design [+W]
• Items ranked from easiest to most difficult are identical under CTT and MFRM [+W]

Related Research Methods

Key Sources

• Ilhan, M., & Guler, N. (2018). A Comparison of Difficulty Indices Calculated for Open-Ended Items According to Classical Test Theory and Many Facet Rasch Model. Eurasian Journal of Educational Research, 75. doi:10.14689/ejer.2018.75.6

Page metadata

Field	Value
type	research-method
id	many-facet-rasch-model
title	Many-Facet Rasch Model
description	MFRM, developed by Linacre in 1989 as an extension of the partial credit model, is an IRT model in which "all so urces of variability , such as raters, items and persons, which have the potential to influence measurement results , are considered simultaneously".
status	review
moved_from	theory/mfrm-many-facet-rasch-model-ilhan-2018
generated	by process:sweep-kinds on 2026-10-10
trust	unverified — no one has confirmed this page's content
sources	1 — ilhan-2018

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