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Hegarty, Niall; Angelidis, John – Mid-Western Educational Researcher, 2021
This paper seeks to provide university administrators and faculty who may be considering the implementation of Academic Service Learning (ASL) with a comprehensive 360 degree viewpoint so as to aid in the decision making of whether ASL may be appropriate as a learning tool for their particular college or university. The article does this by…
Descriptors: Service Learning, Futures (of Society), Educational Benefits, Outcomes of Education
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Marion, Scott; Domaleski, Chris – Educational Measurement: Issues and Practice, 2019
This article offers a critique of the validity argument put forward by Camara, Mattern, Croft, and Vispoel (2019) regarding the use of college-admissions tests in high school assessment systems. We challenge their argument in two main ways. First, we illustrate why their argument fails to address broader issues related to consequences of using…
Descriptors: College Entrance Examinations, High School Students, Test Use, Validity
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Wagner, Elvis; Krylova, Anna – Language Assessment Quarterly, 2021
When the COVID-19 pandemic made it impossible to do in-person, on campus testing, we were forced to create a new system to screen International Teaching Assistants (ITA) for Temple university. We used this opportunity to address many of the concerns and problems that we had identified with the previous test, and created a new test that could be…
Descriptors: Placement Tests, COVID-19, Pandemics, Computer Assisted Testing
Regional Educational Laboratory Mid-Atlantic, 2014
Root cause analysis is a powerful method schools use to analyze data to solve problems; it aims to identify and correct the root causes of problems or events, rather than simply addressing their symptoms. In this webinar, veteran practitioner, Roni Silverstein, talked about the value of this process and practical ways to use it in your school or…
Descriptors: Data Analysis, Problem Solving, Academic Achievement, Validity
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Carnicom, Scott – Journal of the National Collegiate Honors Council, 2013
This essay is written in response to Jerry Herron's essay, "Notes toward an Excellent Marxist-Elitist Honors Admissions Policy," which inquired how honors administrators predicted student success and how they used that predictive power wisely and objectively to admit students and maintain quality. The author of this essay, Scott Carnicom…
Descriptors: Success, Honors Curriculum, At Risk Students, Educational Quality
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Wicherts, Jelte M.; Bakker, Marjan – Intelligence, 2012
The authors argue that upon publication of a paper, the data should be made available through online archives or repositories. Reasons for not sharing data are discussed and contrasted with advantages of sharing, which include abiding by the scientific principle of openness, keeping the data for posterity, increasing one's impact, facilitation of…
Descriptors: Data, Publications, College Freshmen, Intelligence Tests
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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