Psychological research involving scale construction has been hindered considerably by a widespread lack of understanding of coefficient alpha and reliability theory in general. A discussion of the assumptions and meaning of coefficient alpha is…
Testing and Evaluation
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6,373 papers
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(from the introduction) In the "Standards" three broad categories of test instruments are covered: constructed performance tasks, questionnaires, and to a lesser extent, structured behavior samples. Each chapter begins with introductory text that…
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Whilst many definitions of formative assessment have been offered, there is no clear rationale to define and delimit it within broader theories of pedagogy. This paper aims to offer such a rationale, within a framework which can also unify the…
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This paper demonstrates Markov chain Monte Carlo (MCMC) techniques that are particularly well-suited to complex models with item response theory (IRT) assumptions. MCMC may be thought of as a successor to the standard practice of first calibrating…
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Spearmans 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…
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This research examined the effect of scoring items thought to be multidimensional using a unidimensional model and demonstrated the use of multidimensional item response theory (MIRT) as a diagnostic tool. Using real data from a large-scale…
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The need for more realistic and richer forms of assessment in educational tests has led to the inclusion (in many tests) of polytomously scored items, multiple items based on a single stimulus (a testlet), and the increased use of a generalized…
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Markov chain Monte Carlo (MCMC) estimation is investigated for multidimensional compensatory and noncompensatory item response models. Simulation analyses are used to evaluate parameter recovery for the multidimensional two-parameter logistic model…
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Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations among ordinal variables (e.g., Likert-type items). A theoretically appropriate method fits the CFA model to polychoric correlations using either weighted least…
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Outlines a general argument-based approach to validation, develops an interpretive argument for a placement test as an example, and examines some key properties in interpretive arguments. Validity is associated with the interpretation assigned to…
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The authors propose a strategy for studying the effects of time-varying instructional treatments on repeatedly observed student achievement. This approach responds to three challenges: (a) The yearly reallocation of students to classrooms and…
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Presents a study which investigated the componential structure of synonym tasks using confirmatory multidimensional item response theory (IRT) models. Advantage of componential IRT models; Classification of IRT models; Method; Results;…
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There are two currently popular statistic frameworks for addressing measurement problems such as test development, test-score equating, and the identification of biased test items: classical test theory and item response theory (IRT). In this…
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Patz and Junker (1999) describe a general Markov chain Monte Carlo (MCMC) strategy, based on Metropolis-Hastings sampling, for Bayesian inference in complex item response theory (IRT) settings. They demonstrate the basic methodology using the…
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This paper defines Bayesian network models and examines their applications to IRT- based cognitive diagnostic modeling. These models are especially suited to building inference engines designed to be synchronous with the finer grained student models…
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Education is a hot topic. From the stage of presidential debates to tonight's dinner table, it is an issue that most Americans are deeply concerned about. While there are many strategies for improving the educational process, we need a way to find…
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The article presents the author's comments on the article "Casual Indicator Models: Identification, Estimation, and Testing," by Kenneth A. Bollen and Walter R. Davis that was presented at the American Sociological Association Convention in Miami.…
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This paper illustrates how graphical analyses can enhance the interpretation and understanding of multidimensional item response theory (IRT) analyses. Many muldimensional IRT concepts, such as item response functions and information functions, can…
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This study examines the utility of four indices for use in model selection with nested and nonnested polytomous item response theory (IRT) models: a cross-validation index and three information-based indices. Four commonly used polytomous IRT models…
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