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Solano-Flores, Guillermo; Backhoff, Eduardo; Contreras-Nino, Luis Angel – International Journal of Testing, 2009
In this article, we present a theory of test translation whose intent is to provide the conceptual foundation for effective, systematic work in the process of test translation and test translation review. According to the theory, translation error is multidimensional; it is not simply the consequence of defective translation but an inevitable fact…
Descriptors: Test Items, Investigations, Semantics, Translation
Ferrando, Pere J. – Applied Psychological Measurement, 2009
Spearman's factor-analytic model has been proposed as a unidimensional linear item response theory (IRT) model for continuous item responses. This article first proposes a reexpression of the model that leads to a form similar to that of standard IRT models for binary responses and discusses the item indices of difficulty discrimination and…
Descriptors: Factor Analysis, Item Response Theory, Discriminant Analysis, Psychometrics
Sheng, Yanyan; Wikle, Christopher K. – Educational and Psychological Measurement, 2008
As item response models gain increased popularity in large-scale educational and measurement testing situations, many studies have been conducted on the development and applications of unidimensional and multidimensional models. Recently, attention has been paid to IRT-based models with an overall ability dimension underlying several ability…
Descriptors: Test Items, Individual Testing, Item Response Theory, Evaluation Methods
Seok, Soonhwa – Educational Technology Research and Development, 2009
The purpose of this study was to identify and validate items applicable to evaluating online courses at the postsecondary level. Items were derived from a review of the literature. Four judges rated the similarity of the items by making pair-wise comparisons utilizing multidimensional scaling (MDS). The study consisted of five stages. Stage I…
Descriptors: Online Courses, Multidimensional Scaling, Course Evaluation, Test Items
Culpepper, Steven Andrew – Multivariate Behavioral Research, 2009
This study linked nonlinear profile analysis (NPA) of dichotomous responses with an existing family of item response theory models and generalized latent variable models (GLVM). The NPA method offers several benefits over previous internal profile analysis methods: (a) NPA is estimated with maximum likelihood in a GLVM framework rather than…
Descriptors: Profiles, Item Response Theory, Models, Maximum Likelihood Statistics
Peer reviewedMeara, Kevin; Robin, Frederic; Sireci, Stephen G. – Multivariate Behavioral Research, 2000
Investigated the usefulness of multidimensional scaling (MDS) for assessing the dimensionality of dichotomous test data. Focused on two MDS proximity measures, one based on the PC statistic (T. Chen and M. Davidson, 1996) and other, on interitem Euclidean distances. Simulation results show that both MDS procedures correctly identify…
Descriptors: Correlation, Multidimensional Scaling, Simulation, Test Items
Peer reviewedVegelius, Jan – Educational and Psychological Measurement, 1977
The G index of agreement does not permit the use of various weights for its various items. The weighted G index described here, make it possible to use unequal weights. An example of the procedure is provided. (Author/JKS)
Descriptors: Correlation, Item Analysis, Multidimensional Scaling, Test Items
Peer reviewedRoussos, Louis A.; Stout, William F.; Marden, John I. – Journal of Educational Measurement, 1998
Introduces a new approach for partitioning test items into dimensionally distinct item clusters. The core of this approach is a new item-pair conditional-covariance-based proximity measure that can be used with hierarchical cluster analysis. The procedure can correctly classify, on average, over 90% of the items for correlations as high as 0.9.…
Descriptors: Cluster Analysis, Cluster Grouping, Correlation, Multidimensional Scaling
Peer reviewedVegelius, Jan – Educational and Psychological Measurement, 1977
Generalizations of the G index as a measure of similarity between persons beyond the dichotomous situation are discussed. An attempt is made to present a generalization that does not require dichotomization of the items for cases where the number of response alternatives may differ. (Author/JKS)
Descriptors: Correlation, Item Analysis, Measurement Techniques, Multidimensional Scaling
Tate, Richard L. – Applied Measurement in Education, 2004
The valid provision of subscores from an item response theory-based test implies a multidimensional test structure. Assuming, in the construction of a new test, that the test features required for a valid and reliable total test score have been specified already, this article describes the resulting subscore performance and the resulting…
Descriptors: Scores, Test Items, Item Response Theory, Test Construction
Peer reviewedSireci, Stephen G. – Educational Assessment, 1998
Describes content-validity theory and illustrates new and traditional approaches for conducting content-validity studies. Newer approaches are based on multidimensional scaling analysis of item-similarity ratings, while traditional approaches are based on ratings of item-objective congruence and relevance. (Author/SLD)
Descriptors: Content Validity, Data Analysis, Evaluation Methods, Multidimensional Scaling
Gierl, Mark J. – Educational Measurement: Issues and Practice, 2005
In this paper I describe and illustrate the Roussos-Stout (1996) multidimensionality-based DIF analysis paradigm, with emphasis on its implication for the selection of a matching and studied subtest for DIF analyses. Standard DIF practice encourages an exploratory search for matching subtest items based on purely statistical criteria, such as a…
Descriptors: Models, Test Items, Test Bias, Statistical Analysis
Reckase, Mark D.; McKinley, Robert L. – 1984
The purpose of this paper is to present a generalization of the concept of item difficulty to test items that measure more than one dimension. Three common definitions of item difficulty were considered: the proportion of correct responses for a group of individuals; the probability of a correct response to an item for a specific person; and the…
Descriptors: Difficulty Level, Item Analysis, Latent Trait Theory, Mathematical Models
Reckase, Mark D. – 1981
The purpose of this paper is to examine the capabilities of various procedures for sorting dichotomously-scored items into unidimensional subjects. The procedures include: factor analysis, nonmetric multidimensional scaling, cluster analysis, and latent trait analysis. Both simulated and real data sets of known structure were used to evaluate the…
Descriptors: Cluster Analysis, Factor Analysis, Guessing (Tests), Latent Trait Theory
Peer reviewedLautenschlager, Gary J.; Park, Dong-Gun – Applied Psychological Measurement, 1988
The consequences of using item response theory (IRT) item bias detecting procedures with multidimensional IRT item data are examined. Limitations in procedures for detecting item bias are discussed. (SLD)
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Multidimensional Scaling

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