This paper describes the appropriateness of Differential Item Functioning (DIF) analysis performed via mixed-effects Rasch models. Groups of subjects with homogenous Rasch item parameters are found automatically by a model-based partitioning (Rasch tree model). The unifying framework offers the advantage to include the terminal nodes of Rasch tree as item random effects in the multilevel formulation of Rasch models. In such a way we are able to handle different measurement issues. The approach is illustrated with a cross-national survey on attitude towards female stereotypes. Evidence of groups DIF was detected and presented as well as the estimates of model parameters.
Interpreting error measurement: a case study based on Rasch tree approach
SARRA A.;FONTANELLA, Lara;DI BATTISTA, Tonio;
2011-01-01
Abstract
This paper describes the appropriateness of Differential Item Functioning (DIF) analysis performed via mixed-effects Rasch models. Groups of subjects with homogenous Rasch item parameters are found automatically by a model-based partitioning (Rasch tree model). The unifying framework offers the advantage to include the terminal nodes of Rasch tree as item random effects in the multilevel formulation of Rasch models. In such a way we are able to handle different measurement issues. The approach is illustrated with a cross-national survey on attitude towards female stereotypes. Evidence of groups DIF was detected and presented as well as the estimates of model parameters.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
