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Hout, Michael C.; Goldinger, Stephen D.; Ferguson, Ryan W. – Journal of Experimental Psychology: General, 2013
Although traditional methods to collect similarity data (for multidimensional scaling [MDS]) are robust, they share a key shortcoming. Specifically, the possible pairwise comparisons in any set of objects grow rapidly as a function of set size. This leads to lengthy experimental protocols, or procedures that involve scaling stimulus subsets. We…
Descriptors: Visual Stimuli, Research Methodology, Problem Solving, Multidimensional Scaling
Sanborn, Adam N.; Griffiths, Thomas L.; Shiffrin, Richard M. – Cognitive Psychology, 2010
A key challenge for cognitive psychology is the investigation of mental representations, such as object categories, subjective probabilities, choice utilities, and memory traces. In many cases, these representations can be expressed as a non-negative function defined over a set of objects. We present a behavioral method for estimating these…
Descriptors: Markov Processes, Multidimensional Scaling, Cognitive Psychology, Probability
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

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