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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 57 results
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Engelhard, George, Jr.; Wang, Jue – Measurement: Interdisciplinary Research and Perspectives, 2014
The authors of the Focus article pose important questions regarding whether or not performance-based tasks related to executive functioning are best viewed as reflective or formative indicators. Miyake and Friedman (2012) define executive functioning (EF) as "a set of general-purpose control mechanisms, often linked to the prefrontal cortex…
Descriptors: Executive Function, Cognitive Measurement, Structural Equation Models, Item Response Theory
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Wyse, Adam E. – Measurement: Interdisciplinary Research and Perspectives, 2013
Construct maps are tools that display how the underlying achievement construct upon which one is trying to set cut-scores is related to other information used in the process of standard setting. This article reviews what construct maps are, uses construct maps to provide a conceptual framework to view commonly used standard-setting procedures (the…
Descriptors: Standard Setting (Scoring), Maps, Cutting Scores, Methods
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Kingston, Neal M.; Tiemann, Gail C.; Loughran, Jessica T. – Measurement: Interdisciplinary Research and Perspectives, 2013
The authors of this article comment on "Construct Maps as a Foundation for Standard Setting," by Adam E. Wyse (this issue) in which Wyse presents construct maps, a visual display of a variety of sources of evidence that support standard-setting decisions, and shows how this approach could be used with a variety of existing…
Descriptors: Standard Setting (Scoring), Maps, Methods, Misconceptions
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Cai, Li; Monroe, Scott – Measurement: Interdisciplinary Research and Perspectives, 2013
In this commentary, the authors congratulate Professor Alberto Maydeu-Olivares on his article [EJ1023617: "Goodness-of-Fit Assessment of Item Response Theory Models, Measurement: Interdisciplinary Research and Perspectives," this issue] as it provides a much needed overview on the mathematical underpinnings of the theory behind the…
Descriptors: Goodness of Fit, Item Response Theory, Models, Statistical Analysis
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Edwards, Michael C. – Measurement: Interdisciplinary Research and Perspectives, 2013
This author has had the privilege of knowing Professor Maydeu-Olivares for almost a decade and although their paths cross only occasionally, such instances were always enjoyable and enlightening. Edwards states that Maydeu-Olivares' target article for this issue, ("Goodness-of-Fit Assessment of Item Response Theory Models") provides…
Descriptors: Goodness of Fit, Item Response Theory, Models, Factor Analysis
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Maydeu-Olivares, Alberto – Measurement: Interdisciplinary Research and Perspectives, 2013
The article provides an overview of goodness-of-fit assessment methods for item response theory (IRT) models. It is now possible to obtain accurate "p"-values of the overall fit of the model if bivariate information statistics are used. Several alternative approaches are described. As the validity of inferences drawn on the fitted model…
Descriptors: Goodness of Fit, Item Response Theory, Models, Maximum Likelihood Statistics
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Schulz, E. Matthew – Measurement: Interdisciplinary Research and Perspectives, 2013
In this article, E. Matthew Schulz responds to Adam Wyse's article, "Construct Maps as a Foundation for Standard Setting." In doing so, he asserts that one of the most important ideas in Wyse's work is that information used in standard setting needs to be better represented through the use of graphics. However, he's not…
Descriptors: Standard Setting (Scoring), Maps, Item Response Theory, Test Items
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Oberski, Daniel L.; Vermunt, Jeroen K. – Measurement: Interdisciplinary Research and Perspectives, 2013
These authors congratulate Albert Maydeu-Olivares on his lucid and timely overview of goodness-of-fit assessment in IRT models, a field to which he himself has contributed considerably in the form of limited information statistics. In this commentary, Oberski and Vermunt focus on two aspects of model fit: (1) what causes there may be of misfit;…
Descriptors: Goodness of Fit, Item Response Theory, Models, Test Bias
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Thissen, David – Measurement: Interdisciplinary Research and Perspectives, 2013
In this commentary, David Thissen states that "Goodness-of-fit assessment for IRT models is maturing; it has come a long way from zero." Thissen then references prior works on "goodness of fit" in the index of Lord and Novick's (1968) classic text; Yen (1984); Drasgow, Levine, Tsien, Williams, and Mead (1995); Chen and…
Descriptors: Goodness of Fit, Item Response Theory, Models, Statistical Analysis
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Engelhard, George, Jr.; Perkins, Aminah – Measurement: Interdisciplinary Research and Perspectives, 2013
In this commentary, Englehard and Perkins remark that Maydeu-Olivares has presented a framework for evaluating the goodness of model-data fit for item response theory (IRT) models and correctly points out that overall goodness-of-fit evaluations of IRT models and data are not generally explored within most applications in educational and…
Descriptors: Goodness of Fit, Item Response Theory, Models, Measurement
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Maydeu-Olivares, Alberto – Measurement: Interdisciplinary Research and Perspectives, 2013
In this rejoinder, Maydeu-Olivares states that, in item response theory (IRT) measurement applications, the application of goodness-of-fit (GOF) methods informs researchers of the discrepancy between the model and the data being fitted (the room for improvement). By routinely reporting the GOF of IRT models, together with the substantive results…
Descriptors: Goodness of Fit, Models, Evaluation Methods, Item Response Theory
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von Davier, Matthias; Naemi, Bobby; Roberts, Richard D. – Measurement: Interdisciplinary Research and Perspectives, 2012
This article describes an exploration of the distinction between typological and factorial latent variables in the domain of personality theory. Traditionally, many personality variables have been considered to be factorial in nature, even though there are examples of typological constructs dating back to Hippocrates. Recently, some…
Descriptors: Individual Differences, Item Response Theory, Classification, Personality Theories
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Dunne, Timothy T. – Measurement: Interdisciplinary Research and Perspectives, 2011
The challenge for a discussant of the Humphry article in this issue is that the profundity of the simple insights of the article, and the lucid arguments by which the insights are sustained, might be easily overlooked, undervalued, or misconstrued. At the risk of repeating major inferences already presented, one may note that the article…
Descriptors: Physics, Psychometrics, Measurement, Item Response Theory
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Salzberger, Thomas – Measurement: Interdisciplinary Research and Perspectives, 2011
Compared to traditional test theory, where person measures are typically referenced to the distribution of a population, item response theory allows for a much more meaningful interpretation of measures as they can be directly compared to item locations. However, Stephen Humphry shows that the crucial role of the unit of measurement has been…
Descriptors: Psychometrics, Item Response Theory, Measurement, Sociometric Techniques
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Andrich, David – Measurement: Interdisciplinary Research and Perspectives, 2011
This commentary examines the role of the unit from the perspective of the definition of measurement in physics as the ratio of two magnitudes, one of which is defined as the unit; it is an important and timely contribution to measurement in the social sciences. There are many different points that could be commented upon, but the author will…
Descriptors: Social Sciences, Physics, Psychometrics, Item Response Theory
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