Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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A Dimensionality Assessment for Polytomously Scored Items Using DETECT

  • Published : 2000.08.01
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Abstract

A versatile dimensionality assessment index DETECT has been developed for binary item response data by Kim (1994). The present paper extends the use of DETECT to the polytomously scored item data. A simulation study shows DETECT performs well in differentiating multidimensional data from unidimensional one by yielding a greater value of DETECT in the case of multidimensionality. An additional investigation is necessary for the dimensionally meaningful clustering methods, such as HAC for binary data, particularly sensitive to the polytomous data.

Keywords

References

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