Calculation of the DETECT and polyDETECT Index

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Description

This function calculated the DETECT and polyDETECT index (Stout, Habing, Douglas & Kim, 1996; Zhang & Stout, 1999a; Zhang, 2007). At first, conditional covariances have to be estimated using the ccov.np function.

Usage

1
detect.index(ccovtable, itemcluster)

Arguments

ccovtable

A value of ccov.np.

itemcluster

Item cluster for each item. The order of entries must correspond to the columns in data (submitted to ccov.np).

Author(s)

Alexander Robitzsch

References

Stout, W., Habing, B., Douglas, J., & Kim, H. R. (1996). Conditional covariance-based nonparametric multidimensionality assessment. Applied Psychological Measurement, 20, 331-354.

Zhang, J., & Stout, W. (1999a). Conditional covariance structure of generalized compensatory multidimensional items. Psychometrika, 64, 129-152.

Zhang, J., & Stout, W. (1999b). The theoretical DETECT index of dimensionality and its application to approximate simple structure. Psychometrika, 64, 213-249.

Zhang, J. (2007). Conditional covariance theory and DETECT for polytomous items. Psychometrika, 72, 69-91.

See Also

For examples see conf.detect.

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