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Paek, Insu; Han, Kyung T. – Applied Psychological Measurement, 2013
This article reviews a new item response theory (IRT) model estimation program, IRTPRO 2.1, for Windows that is capable of unidimensional and multidimensional IRT model estimation for existing and user-specified constrained IRT models for dichotomously and polytomously scored item response data. (Contains 1 figure and 2 notes.)
Descriptors: Item Response Theory, Computer Software, Computation, Patients
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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
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Unlu, Ali; Sargin, Anatol – Applied Psychological Measurement, 2009
Mondrian is state-of-the-art statistical data visualization software featuring modern interactive visualization techniques for a wide range of data types. This article reviews the capabilities, functionality, and interactive properties of this software package. Key features of Mondrian are illustrated with data from the Programme for International…
Descriptors: Statistical Data, Computer Graphics, Computer Software, Item Analysis
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Li, Jianmin; And Others – Applied Psychological Measurement, 1992
This computer program computes the adjusted alpha level using the original Bonferroni procedure and four modified Bonferroni procedures. It is written in Statistical Analysis System (SAS) macro language. Input and output features are described. (SLD)
Descriptors: Computer Software, Computer Software Evaluation, Hypothesis Testing
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Stone, Clement A. – Applied Psychological Measurement, 1992
Monte Carlo methods are used to evaluate marginal maximum likelihood estimation of item parameters and maximum likelihood estimates of theta in the two-parameter logistic model for varying test lengths, sample sizes, and assumed theta distributions. Results with 100 datasets demonstrate the methods' general precision and stability. Exceptions are…
Descriptors: Computer Software Evaluation, Estimation (Mathematics), Mathematical Models, Maximum Likelihood Statistics