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Sessoms, John; Henson, Robert A. – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…
Descriptors: Literature Reviews, Classification, Models, Criticism
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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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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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Borkenau, Peter – Measurement: Interdisciplinary Research and Perspectives, 2012
Describing, explaining, and discussing various modern indices of scholarly impact as accomplished by Ruscio, Seaman, D'Oriano, Stremlo, and Mahalchik (this issue) is highly commendable, as such measures get increasingly important in hiring and promotion decisions. The author agrees with almost all points made in the target article, except the…
Descriptors: Periodicals, Correlation, Measurement, Outcome Measures
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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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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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Bornmann, Lutz – Measurement: Interdisciplinary Research and Perspectives, 2012
Ruscio, Seaman, D'Oriano, Stremlo, and Mahalchik (this issue) evaluate 22 bibliometric indicators, including conventional measures, like the number of publications, the "h" index, and many "h" index variants. To assess the quality of the indicators, their well-justified criteria encompass conceptual, empirical, and practical…
Descriptors: Foreign Countries, Citation Analysis, Correlation, Meta Analysis