Download Applying Item Response Theory in Language Test Item Bank by Gábor Szabó PDF

By Gábor Szabó

Merchandise reaction concept, notwithstanding it has turn into a widely known device in language checking out learn, remains to be no longer used often in useful language review initiatives. This booklet intends to supply a theoretical evaluate in addition to to provide sensible suggestions about the program of IRT in merchandise financial institution construction in a language checking out context by means of offering a specific venture in a better schooling atmosphere.

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As Bachman (1990:186-187) points out, one major problem is that Classical Test Theory considers all kinds of error variance to originate from the same source. Spearman's original formula is made up of a single error component, and all procedures for estimating reliability identify a single source for this error component. In reality several sources of error may co-exist or even interact with one another. However, since with classical procedures it is not possible to investigate more than one source of error at a time, it is quite possible that different sources of error are confused or not identified or even confounded with true score variance.

Practical considerations is one of these. Since the mathematical complexity of all three model types necessitates computerized data processing, the scarcity of suitable software is a practical constraint concerning model choice. 50 Though software does exist for the two and three-parameter models (Wingersky, Barton and Lord 1982; Mislevy and Bock 1984), they are rather complex and quite difficult to use, owing to user-unfriendly interface as well as highly sophisticated command structures involved.

Next, the issue of model-data fit is addressed. 5 Model-Data Fit Statistics In the previous sections it has been shown that model fit—that is, how much the theoretical construct underlying a model is suitable for the analysis of a given data set—is crucial in the process of any IRT-based analysis. If the data are found to misfit the model or vice versa, the results can practically be considered meaningless (Traub and Wolfe 1981:413). But is it the model that should fit the data or the data fit the model?

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