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The Implications Of Halo Effects And Item Dependencies For Objective Measurement, T Mcnamara, Ray Adams
The Implications Of Halo Effects And Item Dependencies For Objective Measurement, T Mcnamara, Ray Adams
Prof Ray Adams
Analysis of data from performance-based language tests presents the problem of dealing appropriately with bundles of items that are linked to particular tasks. The authors use recent developments in Rasch modelling which allow analysis of bundles of items (or sets of ratings) to examine the extent of dependence between items and ratings, and they explore the implications of those dependences on the assessments. Data from two performance assessments are used in two studies of this problem.
Interpreting The Parameters Of A Multidimensional Rasch Model, W Wang, M Wilson, Ray Adams
Interpreting The Parameters Of A Multidimensional Rasch Model, W Wang, M Wilson, Ray Adams
Prof Ray Adams
This chapter introduces the multidimensional random coefficient multinomial logit model (MRCML) which can be applied to multidimensional polytomous test items. Two examples of real data analyses are followed to demonstrates the applications of the MRCML. A detailed discussion is made of interpretation of item parameters, in comparision to those derived from their corresponding unidimensional Rasch measurement models. Finally, it provides some guidelines for constructing scoring matrices and the corresponding models to aid parameter interpretation.