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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
Papesh, Megan H.; Goldinger, Stephen D. – Cognition, 2010
We examined predictions derived from Valentine's (1991) Multidimensional Space (MDS) framework for own- and other-race face processing. A set of 20 computerized faces was generated from a single prototype. Each face was saved as Black and White, changing only skin tone, such that structurally identical faces were represented in both race…
Descriptors: Prediction, Multidimensional Scaling, Psychology, Evaluation Methods
Forster, Natalie; Souvignier, Elmar – Learning Disabilities: A Contemporary Journal, 2011
The purpose of this study was to examine the technical adequacy of a computer-based assessment instrument which is based on hierarchical models of text comprehension for monitoring student reading progress following the Curriculum-Based Measurement (CBM) approach. At intervals of two weeks, 120 third-grade students finished eight CBM tests. To…
Descriptors: Educational Needs, Intervals, Curriculum Based Assessment, Computer Assisted Testing
Lindwall, Magnus; Palmeira, Antonio – Measurement in Physical Education and Exercise Science, 2009
The present study investigated the factorial validity and factorial invariance of the 21-item Exercise Dependence Scale-Revised using 162 Swedish and 269 Portuguese exercisers. In addition, the prevalence of exercise dependence symptoms and links to exercise behavior, gender, and age in the two samples was also studied. Confirmatory factor…
Descriptors: Measures (Individuals), Factor Analysis, Foreign Countries, Item Analysis
Zhang, Yanwei; Nandakumar, Ratna – Online Submission, 2006
Computer Adaptive Sequential Testing (CAST) is a test delivery model that combines features of the traditional conventional paper-and-pencil testing and item-based computerized adaptive testing (CAT). The basic structure of CAST is a panel composed of multiple testlets adaptively administered to examinees at different stages. Current applications…
Descriptors: Item Banks, Item Response Theory, Adaptive Testing, Computer Assisted Testing