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Deng, Nina; Han, Kyung T.; Hambleton, Ronald K. – Applied Psychological Measurement, 2013
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…
Descriptors: Item Response Theory, Nonparametric Statistics, Statistical Analysis, Computer Software
Monahan, Patrick O.; Stump, Timothy E.; Finch, Holmes; Hambleton, Ronald K. – Applied Psychological Measurement, 2007
DETECT is a nonparametric "full" dimensionality assessment procedure that clusters dichotomously scored items into dimensions and provides a DETECT index of magnitude of multidimensionality. Four factors (test length, sample size, item response theory [IRT] model, and DETECT index) were manipulated in a Monte Carlo study of bias, standard error,…
Descriptors: Test Length, Sample Size, Monte Carlo Methods, Geometric Concepts
Hambleton, Ronald K.; Xing, Dehui – Applied Measurement in Education, 2006
Now that many credentialing exams are being routinely administered by computer, new computer-based test designs, along with item response theory models, are being aggressively researched to identify specific designs that can increase the decision consistency and accuracy of pass-fail decisions. The purpose of this study was to investigate the…
Descriptors: Test Construction, Objective Tests, Item Response Theory, Feedback
Hambleton, Ronald K.; And Others – 1990
Item response theory (IRT) model parameter estimates have considerable merit and open up new directions for test development, but misleading results are often obtained because of errors in the item parameter estimates. The problem of the effects of item parameter estimation errors on the test development process is discussed, and the seriousness…
Descriptors: Error of Measurement, Estimation (Mathematics), Item Response Theory, Sampling
Hambleton, Ronald K.; Jones, Russell W. – 1993
Errors in item parameter estimates have a negative impact on the accuracy of item and test information functions. The estimation errors may be random, but because items with higher levels of discriminating power are more likely to be selected for a test, and these items are most apt to contain positive errors, the result is that item information…
Descriptors: Computer Simulation, Error of Measurement, Estimation (Mathematics), Item Banks
Jones, Russell W.; Hambleton, Ronald K. – 1992
Increasing social awareness of the need for accurate and fair testing has combined with technological developments to produce dramatic advances in psychometric models, methods, and procedures. Three of the most important new directions within the measurement field concern the following areas: (1) item response theory; (2) item bias or differential…
Descriptors: Cognitive Psychology, Computer Assisted Testing, Generalizability Theory, Item Bias