A review of DIMPACK version 1.0: conditional covariance–based test dimensionality analysis package created by Nina Deng, Kyung T. Han, Ronald K. Hambleton

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Deng, Nina [author]

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Material type: Text

TextSeries: ; Volume , number ,USA : Sage; 2013Content type:

text

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unmediated

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Summary: DIMPACK Version 1.0 for assessing test dimensionality based on a nonparametric conditional covariance approach is reviewed. This software was originally distributed by Assessment Systems Corporation and now can be freely accessed online. The software consists of Windows-based interfaces of three components: DIMTEST, DETECT, and CCPROX/HAC, which conduct hypothesis test for unidimensionality, cluster items, and perform hierarchical cluster analysis, respectively. Two simulation studies were conducted to evaluate the software in confirming test unidimensionality (a Type I error study) and detecting multidimensionality (a statistical power study). The results suggested that different data always be used in selecting assessment subtest items independent of calculating the DIMTEST statistic. The Type I error rate was excessively inflated otherwise. The statistical power was found low when sample size was small or the dimensions were highly correlated. It is suggested that some major changes be made to the software before it can be successfully useful among practitioners.

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Item type	Current library	Call number	Vol info	Copy number	Status	Notes	Date due	Barcode
Journal Article	Main Library - Special Collections	BF39 APP (Browse shelf(Opens below))	Vol. 37, No. 2 pages 162-172	SP17168	Not for loan	For in-house use only

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Previous	BF39 APP Deriving stopping rules for multidimensional computerized adaptive testing	BF39 APP Uncertainties in the item parameter estimates and robust automated test assembly	BF39 APP Optimal test design with rule-based item generation	BF39 APP A review of DIMPACK version 1.0: conditional covariance–based test dimensionality analysis package	BF39 APP The random-threshold generalized unfolding model and its application of computerized adaptive testing	BF39 APP The reliability and precision of total scores and IRT estimates as a function of polytomous IRT parameters and latent trait distribution	BF39 APP Two approaches to estimation of classification accuracy rate under item response theory	Next

DIMPACK Version 1.0 for assessing test dimensionality based on a nonparametric conditional covariance approach is reviewed. This software was originally distributed by Assessment Systems Corporation and now can be freely accessed online. The software consists of Windows-based interfaces of three components: DIMTEST, DETECT, and CCPROX/HAC, which conduct hypothesis test for unidimensionality, cluster items, and perform hierarchical cluster analysis, respectively. Two simulation studies were conducted to evaluate the software in confirming test unidimensionality (a Type I error study) and detecting multidimensionality (a statistical power study). The results suggested that different data always be used in selecting assessment subtest items independent of calculating the DIMTEST statistic. The Type I error rate was excessively inflated otherwise. The statistical power was found low when sample size was small or the dimensions were highly correlated. It is suggested that some major changes be made to the software before it can be successfully useful among practitioners.

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