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Feuerstahler, Leah; Wilson, Mark – Journal of Educational Measurement, 2019
Scores estimated from multidimensional item response theory (IRT) models are not necessarily comparable across dimensions. In this article, the concept of aligned dimensions is formalized in the context of Rasch models, and two methods are described--delta dimensional alignment (DDA) and logistic regression alignment (LRA)--to transform estimated…
Descriptors: Item Response Theory, Models, Scores, Comparative Analysis
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Finch, Holmes – Practical Assessment, Research & Evaluation, 2022
Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…
Descriptors: Data Analysis, Statistical Inference, Models, College Faculty
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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
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Dickes, Paul; Valentova, Marie; Borsenberger, Monique – Social Indicators Research, 2010
The aim of the paper is to assess the construct validation of a multidimensional measure of social cohesion which is well theoretically grounded and has an equivalent/comparable interpretation across all European countries. Up-to-now published research on social cohesion is deficient in either one or both of these important aspects. This paper…
Descriptors: Construct Validity, Multidimensional Scaling, Factor Analysis, Foreign Countries
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Chaaban, Jad M. – Social Indicators Research, 2009
This paper develops an empirical methodology for the construction of a synthetic multi-dimensional cross-country comparison of the performance of governments around the world in improving the livelihood of their younger population. The devised "Youth Welfare Index" is based on the nonparametric Data Envelopment Analysis (DEA) methodology and…
Descriptors: Nonparametric Statistics, Research Methodology, Evaluation Methods, Comparative Education
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Gonzalvo, Pilar; And Others – Journal of Educational Psychology, 1994
Multidimensional scaling (MDS) and Pathfinder techniques for assessing changes in the structural representation of a knowledge domain were studied with relatedness ratings collected from 72 Spanish college students. Comparison of student and expert similarity measures indicate that MDS and graph theoretic approaches are valid techniques. (SLD)
Descriptors: Change, College Students, Comparative Analysis, Evaluation Methods
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Stone, Clement A.; Yeh, Chien-Chi – Educational and Psychological Measurement, 2006
Examination of a test's internal structure can be used to identify what domains or dimensions are being measured, identify relationships between the dimensions, provide evidence for hypothesized multidimensionality and test score interpretations, and identify construct-irrelevant variance. The purpose of this research is to provide a…
Descriptors: Multiple Choice Tests, Factor Structure, Factor Analysis, Licensing Examinations (Professions)
Villaneuva, Lourdes S.; Dunn-Rankin, Peter – 1973
Ranking and rating methods of making direct judgments of pairwise similarity are compared. Three dimensional configurations of seven objects are derived under both judgment methods across two equivalent groups of 59 university students. Using Cliff's orthogonal rotation method of multidimensional matching, comparisons are made between methods…
Descriptors: Classification, College Students, Comparative Analysis, Evaluation Methods
Hattendorf, Lynn C. – 1996
Since educational statistics, which are relatively easy to obtain, can only attempt to measure "quality," this paper asks how quality in higher education is assessed and how educational rankings, which are defined as benchmarks or attempts to measure, contribute to this process. The paper notes that while attempts to rank institutions of…
Descriptors: Citation Analysis, Comparative Analysis, Data Interpretation, Educational Assessment