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- W2183196881 abstract "Form equating methods have proceeded under the assumption that test forms should be unidimensional, both across forms and within each form. This assumption is necessary when the data are fit to a unidimensional model, such as Rasch. When the assumption is violated, variations in the dimensional mix of the items on each test form, as well as in the mix of skills in the student population, can lead to problematic testing anomalies. The assumption ceases to be necessary, however, when data are fit to an appropriate multidimensional model. In such a scenario, it becomes possible to reproduce the same composite dimension rigorously across multiple test forms, even when the relative mix of dimensions embodied in the items on each form varies substantially. This paper applies one such multidimensional model, NOUS, to a simulated multidimensional dataset and shows how it avoids the pitfalls that can arise when fitting the same data to a single dimension. Some implications of equating multidimensional forms are discussed." @default.
- W2183196881 created "2016-06-24" @default.
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- W2183196881 date "2006-01-01" @default.
- W2183196881 modified "2023-09-26" @default.
- W2183196881 title "MUL T IDIMENSIONAL EQU A TING LINKING MULTIDIMENSIONAL TEST FORMS BY CONSTRUCTING AN OBJECTIVE N-SPACE" @default.
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