Application of Many Faceted Rasch Measurement with FACETS

Priyalatha Govindasamy, Antonio Olmos, K. Green, M. Salazar
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引用次数: 2

Abstract

Many facet Rasch measurement (MFRM) is a type of measurement application that aims to perform analysis of multiple variables that potentially influence results of a test or outcome measure. A facet is a component with a systematic contribution to the variability of the measurement error. Linacre (1989) created the technique as an extension of the Rasch model to model the consistency of judges/raters in rating performances. The purpose is to provide a step- by step guide for practitioners on how to conduct an MFRM analysis in FACETS software using real data.
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多面拉丝测量的应用
多面拉希测量(MFRM)是一种测量应用,旨在对可能影响测试结果或结果测量的多个变量进行分析。面是对测量误差可变性有系统贡献的一个组成部分。Linacre(1989)创建了该技术,作为Rasch模型的扩展,以模拟评委/评分者在评分表现中的一致性。目的是为从业者提供一个循序渐进的指南,指导他们如何在facet软件中使用真实数据进行MFRM分析。
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