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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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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
Collis, Betty – 1989
Apprehension about evaluating the use of computers in schools can be attributed to a variety of reasons, including the claim that evaluation discourages innovation and discovery. Powerful reasons, however, make evaluation at both regional and national levels desirable. By conceiving of evaluation as a formative, on-going process rather than as a…
Descriptors: Accountability, Computer Uses in Education, Discovery Processes, Educational Innovation
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Wainer, Howard – Journal of Educational Measurement, 1993
Focusing on educational measurement that suggests an action and has an outcome, 16 problem areas are defined and grouped into the following classes: (1) validity; (2) issues of statistical adjustment; (3) data insufficiencies; (4) other issues related to standardized testing and constructed responses; and (5) technical issues of psychometrics.…
Descriptors: Comparative Analysis, Computer Uses in Education, Constructed Response, Educational Assessment