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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 76 to 90 of 248 results
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Cacioppo, John T.; Cacioppo, Stephanie – Measurement: Interdisciplinary Research and Perspectives, 2012
Ruscio and colleagues (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) provide a thoughtful empirical analysis of 22 different measures of individual scholarly impact. The simplest metric is number of publications, which Simonton (1997) found to be a reasonable predictor of career trajectories. Although the assessment of the scholarly…
Descriptors: Measurement, Outcome Measures, Scholarship, Bibliometrics
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Cho, Kit W.; Neely, James H. – Measurement: Interdisciplinary Research and Perspectives, 2012
Ruscio et al. (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) have provided an impressively comprehensive conceptual and empirical psychometric analysis of 22 modern-day citation measures. Their analyses show that although numerous measures have been developed to ameliorate perceived limitations of Hirsch's (2005) "h" index (which is…
Descriptors: Citation Indexes, Citation Analysis, Outcome Measures, Scholarship
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Haslam, Nick – Measurement: Interdisciplinary Research and Perspectives, 2012
Ruscio and colleagues (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) have done a great service by systematically comparing indices of scholarly impact. Three aspects of their work are particularly valuable: (1) Their assessment of the proliferating collection of metrics, whose development has become something of a cottage industry,…
Descriptors: Psychology, Authors, Measurement, Outcome Measures
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Panaretos, John; Malesios, Chrisovaladis C. – Measurement: Interdisciplinary Research and Perspectives, 2012
In their article Ruscio et al. (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) present a comparative study of some of the different variants of the "h" index. The study evaluates a total of 22 metrics, including the "h" index and "h"-type indices, as well as other conventional measures. The novelty of their work is to a large extent…
Descriptors: Comparative Analysis, Usability, Statistical Analysis, Productivity
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Porter, Theodore M. – Measurement: Interdisciplinary Research and Perspectives, 2012
Ruscio et al. (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) write of a thing with which scientists and scholars are all too familiar, the assessment of published research and of its authors. The author was startled to discover how little the agenda of the paper seems to engage with factors one relies on for salary and promotion…
Descriptors: Evaluation Criteria, Data Analysis, Evaluative Thinking, Bias
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Simonton, Dean Keith – Measurement: Interdisciplinary Research and Perspectives, 2012
The target article seems to provide yet another illustration of the classic "It don't make no nevermind" principle in statistical analysis. In particular, relatively simple measures appear to do approximately as well as more complex measures do, even including indicators that represent nonlinear transformations of the simpler measures. The authors…
Descriptors: Citation Analysis, Outcome Measures, Scholarship, Statistical Analysis
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McNamara, Tim; Hill, Kathryn – Measurement: Interdisciplinary Research and Perspectives, 2012
The suggested role for assessment in developing "Roadmaps for Learning" has potentially important implications for the learning of second or foreign languages in school, a major concern of applied linguistics. In this response, the authors consider how the findings of a detailed ethnographic study of classroom-based assessment in two foreign…
Descriptors: Language Tests, Second Language Learning, Indonesian, Student Evaluation
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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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Loken, Eric – Measurement: Interdisciplinary Research and Perspectives, 2012
Von Davier, Naemi, and Roberts (this issue) present a nice summary of the statistical ambiguity often encountered in making distinctions between qualitative and quantitative constructs. In this commentary, the author begins with two broad points. The first is that the mixture/factor arguments are most intriguing when firmly embedded in a…
Descriptors: Models, Statistical Analysis, Classification, Goodness of Fit
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Rupp, Andre A. – Measurement: Interdisciplinary Research and Perspectives, 2012
In the focus article of this issue, von Davier, Naemi, and Roberts essentially coupled: (1) a short methodological review of structural similarities of latent variable models with discrete and continuous latent variables; and (2) 2 short empirical case studies that show how these models can be applied to real, rather than simulated, large-scale…
Descriptors: Models, Classification, Multivariate Analysis, Statistical Analysis
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Samuelsen, Karen – Measurement: Interdisciplinary Research and Perspectives, 2012
The notion that there is often no clear distinction between factorial and typological models (von Davier, Naemi, & Roberts, this issue) is sound. As von Davier et al. state, theory often indicates a preference between these models; however the statistical criteria by which these are delineated offer much less clarity. In many ways the procedure…
Descriptors: Models, Statistical Analysis, Classification, Factor Structure
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Waltman, Ludo; Costas, Rodrigo; van Eck, Nees Jan – Measurement: Interdisciplinary Research and Perspectives, 2012
The literature on bibliometric indices for assessing scholarly impact, in particular the "h" index (Hirsch, 2005) and its many variants, is extensive, but nevertheless Ruscio and colleagues (this issue) succeed in making a valuable contribution. They have made the effort of collecting publication and citation data for no less than 1,750…
Descriptors: Evidence, Citations (References), Periodicals, Measurement
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Lubke, Gitta – Measurement: Interdisciplinary Research and Perspectives, 2012
Von Davier et al. (this issue) describe two analyses that aim at determining whether the constructs measured with a number of observed items are categorical or continuous in nature. The issue of types versus traits has a long history and is relevant in many areas of behavioral research, including personality research, as emphasized by von Davier…
Descriptors: Models, Classification, Multivariate Analysis, Statistical Analysis
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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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