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Showing 1 to 15 of 25 results Save | Export
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Robert Meyer; Anthony Milanowski; Ryan Veiga; Jessica Doherty – Journal of Education Human Resources, 2025
One potentially fruitful application for human capital analytics is to support policies and practices that might reduce undesirable teacher turnover. Teacher turnover can be harmful to student achievement and faculty cohesiveness and can exacerbate teacher shortages. This article describes an attempt to build a human capital analytics tool to help…
Descriptors: Teacher Persistence, Faculty Mobility, School Districts, Human Capital
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Kosztyán, Zsolt Tibor; Csizmadia, Tibor; Pató, Beáta Sz.G.; Berke, Szilárd; Neumanné-Virág, Ildiko; Bencsik, Andrea – Cogent Education, 2023
The measurement of organizational satisfaction is a popular topic in organizational science; however, less attention is given to organizational happiness. There are very few measuring tools designed to evaluate organizational happiness. While the value-mediating role of higher education is indisputable, to the best of our knowledge, this is the…
Descriptors: Organizational Climate, Data Analysis, Higher Education, Foreign Countries
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Decuypere, Mathias; Landri, Paolo – Critical Studies in Education, 2021
University rankings have become commonplace in higher education. Traditional quantified rankings do not merely measure educational performance: they equally grant status, enforce competition between institutions, and are emblematic for the ongoing capitalization of higher education. Drawing on the field of Science and Technology Studies, this…
Descriptors: Universities, Institutional Evaluation, Educational Quality, Institutional Characteristics
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Bautista-Puig, Núria; Orduña-Malea, Enrique; Perez-Esparrells, Carmen – International Journal of Sustainability in Higher Education, 2022
Purpose: This study aims to analyse and evaluate the methodology followed by the Times Higher Education Impact Rankings (THE-IR), as well as the coverage obtained and the data offered by this ranking, to determine if its methodology reflects the degree of sustainability of universities, and whether their results are accurate enough to be used as a…
Descriptors: Sustainable Development, Higher Education, Reputation, Institutional Characteristics
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Robert Meyer; Tracy Diel; Rinor Jahiu; Hayley Tymeson – Society for Research on Educational Effectiveness, 2023
Background: This paper considers a new policy and statistical framework for evaluating K-12 schools and policies that aligns with diversity, equity, and inclusion values. The new approach broadens the standard approach to accountability and evaluation by combining features of evaluation and multi-level growth models with approaches used in systems…
Descriptors: Accountability, Inclusion, Diversity, Equal Education
Villani, Susan; Mundry, Susan; Cobb, Velma; Henry, Susan; Schlanger, Phoebe; Shaffer, Susan; Basterra, Maria del Rosario – Center for Education Equity, Mid-Atlantic Equity Consortium, 2021
This guide is designed to help teachers and administrators use data to continuously improve equity in schools. Educators can also use data to engage students, parents/guardians, the community, and others who want to make positive changes in schools to increase equity. The purposes of the guide are to: (1) Introduce MAEC's Equity Audit Tools as a…
Descriptors: Equal Education, Data Analysis, Audits (Verification), Educational Improvement
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Meyers, Coby; Wan, Yinmei – Regional Educational Laboratory Northeast & Islands, 2017
Identifying schools that are beating the odds--schools that are exceeding academic performance expectations, given the composition of their student body--can lead to promising practices that other schools serving similar populations can implement. Regional Educational Laboratory Northeast & Islands used data on high-poverty high schools in…
Descriptors: Comparative Analysis, Institutional Characteristics, Poverty, Public Schools
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Meyers, Coby V.; Wan, Yinmei – Regional Educational Laboratory Northeast & Islands, 2016
The Regional Educational Laboratory Northeast and Islands conducted this study using data on public high schools in Puerto Rico from national and territory databases to compare methods for identifying beating-the-odds schools. Schools were identified by two methods, a status method that ranked high-poverty schools based on their current observed…
Descriptors: High Schools, Public Schools, Comparative Analysis, Evaluation Methods
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Tuttle, Christina Clark; Gleason, Philip; Clark, Melissa – Economics of Education Review, 2012
This paper draws on data and experiences observing and analyzing school lotteries from the National Evaluation of Charter School Impacts (Gleason et al., 2010) to describe the challenges associated with lottery-based research. In that study, covering 36 charter middle schools in 15 states, we found that charter schools did not affect student…
Descriptors: Charter Schools, Middle Schools, National Surveys, Evaluation Criteria
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Haughton, Noela; Keil, Virginia – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2013
The debate surrounding teacher quality often fails to differentiate effectively between teacher-preparation providers. This failure also extends to distinguishing between teachers prepared in traditional campus-based accredited programs from those prepared in unaccredited campus-based programs. This paper compares assessment infrastructure and…
Descriptors: Comparative Analysis, Accreditation (Institutions), Teacher Effectiveness, Expenditures
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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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Carman, Joanne G.; Fredericks, Kimberly A. – American Journal of Evaluation, 2010
In this article, we explore the evaluation capacity of today's nonprofit organizations. We report the findings of a cluster analysis that suggest that when it comes to evaluation, there are three types of nonprofit organizations. The first type of nonprofit organization is one that, by most accounts, is satisfied with their evaluation efforts.…
Descriptors: Nonprofit Organizations, Institutional Characteristics, Multivariate Analysis, Program Implementation
Xiang, Yun; Hauser, Carl – Northwest Evaluation Association, 2010
The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…
Descriptors: Academic Achievement, Comparative Analysis, Policy Formation, Data Analysis
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Tourkin, Steven; Thomas, Teresa; Swaim, Nancy; Cox, Shawna; Parmer, Randall; Jackson, Betty; Cole, Cornette; Zhang, Bei – National Center for Education Statistics, 2010
The Schools and Staffing Survey (SASS) is conducted by the National Center for Education Statistics (NCES) on behalf of the United States Department of Education in order to collect extensive data on American public and private elementary and secondary schools. SASS provides data on the characteristics and qualifications of teachers and…
Descriptors: Elementary Secondary Education, National Surveys, Public Schools, Private Schools
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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