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Hayes, Timothy – Journal of Educational and Behavioral Statistics, 2019
Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's intended analysis model. This article reviews and demonstrates two recent software packages, Blimp and jomo, to multiply impute data in a manner…
Descriptors: Computer Software Evaluation, Computer Software Reviews, Hierarchical Linear Modeling, Data Analysis
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Stone, Clement A. – Educational Measurement: Issues and Practice, 1992
TESTAT is a supplementary module for the popular SYSTAT statistical package for the personal computer. The program performs test analyses based on classical test theory and item response theory. Limitations and advantages are discussed. (SLD)
Descriptors: Computer Assisted Testing, Computer Software Evaluation, Error of Measurement, Item Response Theory
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Weinberg, Sharon L.; Menil, Violeta C. – Multivariate Behavioral Research, 1993
The ability of 3-way INDSCAL and ALSCAL models to recover true structure in proximity data based on 2-dimensional configurations varying in number of subjects (15 and 20) and stimuli, amount of error, and monotonic transformation is examined. INDSCAL outperformed metric and nonmetric ALSCAL in all conditions. (SLD)
Descriptors: Analysis of Variance, Comparative Analysis, Computer Simulation, Computer Software Evaluation
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Lilley, M.; Barker, T.; Britton, C. – Computers and Education, 2004
This paper presents ongoing research at the University of Hertfordshire on the use of computer-adaptive tests (CATs) in Higher Education. A software prototype based on Item Response Theory has been developed and is described here. This application was designed to estimate the level of proficiency in English for those students whose first language…
Descriptors: Foreign Countries, Adaptive Testing, Computer Assisted Testing, Computer Software Evaluation