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Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
Min, Kyung-Seok – Asia Pacific Education Review, 2007
Most researchers agree that psychological/educational tests are sensitive to multiple traits, implying the need for a multidimensional item response theory (MIRT). One limitation of applying a MIRT in practice is the difficulty in establishing equivalent scales of multiple traits. In this study, a new MIRT linking method was proposed and evaluated…
Descriptors: Item Response Theory, Multidimensional Scaling, Multitrait Multimethod Techniques, Concept Mapping
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Hendrick, Clyde; And Others – Environment and Behavior, 1977
This study assessed whether slides of lighting arrangements could adequately simulate results from real space. Data indicated that in many important respects the results for the slides matched those for the real space for ratings on semantic differential scales, but that less consistent results were obtained for multidimensional scaling.…
Descriptors: Behavior, Comparative Analysis, Environmental Influences, Environmental Research
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Wang, Wen-Chung; Wilson, Mark; Shih, Ching-Lin – Journal of Educational Measurement, 2006
This study presents the random-effects rating scale model (RE-RSM) which takes into account randomness in the thresholds over persons by treating them as random-effects and adding a random variable for each threshold in the rating scale model (RSM) (Andrich, 1978). The RE-RSM turns out to be a special case of the multidimensional random…
Descriptors: Item Analysis, Rating Scales, Item Response Theory, Monte Carlo Methods