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Jiang Li; Chen Zhu; Mark Goh – Research Evaluation, 2025
Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…
Descriptors: Foreign Countries, Research and Development, COVID-19, Pandemics
Potenziano, Phillip J. – ProQuest LLC, 2014
As district- and school-level leaders face increasing pressure from federal, state, and local accountability mandates there has been increased dependence on using and analyzing student data to help improve student performance. While the reporting of disaggregated data by student subgroup confirms that achievement gaps exist, it does not provide…
Descriptors: Equal Education, Student Records, Data Analysis, Data Interpretation
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Yayli, Demet – Teacher Development, 2012
This study presents the results of a teacher research project. The analysis aimed to explore both the four teacher researchers' interpretations of conducting research in English language teaching and the nature of their collaboration with their supervisor in the procedure. The results showed that qualitative data analysis and interpreting the…
Descriptors: Qualitative Research, Data Analysis, Teacher Researchers, English
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Palmer, Stuart – Quality in Higher Education, 2012
Student evaluation of teaching is commonplace in many universities and may be the predominant input into the performance evaluation of staff and organisational units. This article used publicly available student evaluation of teaching data to present examples of where institutional responses to evaluation processes appeared to be educationally…
Descriptors: Teacher Effectiveness, Evaluation Methods, Student Evaluation of Teacher Performance, Evaluation Problems
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Frederick, Karen; Barnard-Brak, Lucy; Sulak, Tracey – International Journal of Research & Method in Education, 2012
There has been a significant increase in the use of secondary data sets. Many such data sets purport to be nationally representative. Secondary data sets include research commissioned by the National Center for Education Statistics, the Centers for Disease Control, and other public entities. Research increasingly utilizes these secondary data in…
Descriptors: Autism, Statistical Analysis, Pervasive Developmental Disorders, Disproportionate Representation
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Harbour, Clifford P.; Davies, Timothy Gray; Gonzales-Walker, Roxanne – Community College Review, 2010
This article reports on a qualitative, interpretive case study examining how trustees, administrators, faculty members, and staff members at a rural community college understand their institution's accountability environment. Data analysis and interpretation established that participants conceptualized institutional accountability as dialogic,…
Descriptors: Community Colleges, Data Analysis, Accountability, Institutional Characteristics
State Higher Education Executive Officers, 2010
Complete College America and FutureWorks conducted an analysis of certificate production, the value of the certificate program, and the economic benefit it provides to the region and nation. The conclusion, based on labor market demand and both personal and economic returns, is that certificates count and the policy and trends around certificates…
Descriptors: Educational Attainment, State Policy, Education Work Relationship, Educational Trends
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Kuh, George D.; Umbach, Paul D. – New Directions for Institutional Research, 2004
The authors examine the college conditions that contribute to character development, using data from the National Survey of Student Engagement (NSSE). (Contains 4 tables and 5 figures.)
Descriptors: Personality, College Students, National Surveys, Data Interpretation
McCoach, D. Betsy; Siegle, Del – 2001
This report discusses the outcomes of a study that investigated the relationship between student scores on the five sub-scales of the School Attitude Assessment Survey-Revised (SAAS-R) and the academic achievement of known groups of gifted achievers and gifted underachievers. The study examined whether gifted achievers and gifted underachievers…
Descriptors: Academic Achievement, Academically Gifted, Data Analysis, Data Interpretation