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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
Barrett, Paula M.; Cooper, Marita; Stallard, Paul; Zeggio, Larissa; Gallegos- Guajardo, Julia – Education and Treatment of Children, 2017
This response aims to critically evaluate the methodology and aims of the meta-analytic review written by Maggin and Johnson (2014). The present authors systematically provide responses for each of the original criticisms and highlight concerns regarding Maggin and Johnson's methodology, while objectively describing the current state of evidence…
Descriptors: Anxiety, Prevention, Program Effectiveness, Program Evaluation
Goudas, Alexandros M.; Boylan, Hunter R. – Journal of Developmental Education, 2013
Shortly after we published "Addressing Flawed Research in Developmental Education" (2012) in the "Journal of Developmental Education," Thomas Bailey, Shanna Smith Jaggars, and Judith Scott- Clayton from the Community College Research Center (CCRC) wrote a response rebutting several of our claims. Though their response corrects…
Descriptors: Developmental Programs, Educational Research, Reader Response, Criticism
Sharp, D. E. Ann; And Others – 1985
Hypothesis generation and testing is outlined as an additional domain for program evaluators. Program evaluation involves a thorough analysis of the processes that contribute to change (or a lack of change) among program recipients. This process of change is analyzed in two ways: (1) treating programs as naturally occurring field studies; and (2)…
Descriptors: Adults, Data Analysis, Data Interpretation, Evaluators

Brotherson, Mary Jane – Journal of Early Intervention, 1999
This commentary on a previous article that demonstrates three ways of analyzing qualitative interview data (content, cultural models, and narrative analyses), discusses the need for greater articulation of the complexities of interpretation and a greater emphasis on verification procedures in early intervention qualitative research. (CR)
Descriptors: Cultural Awareness, Cultural Differences, Data Interpretation, Disabilities
Danaher, P. A. – 1993
This paper examines the link between language and power as it relates to program evaluation of the Brisbane School of Distance Education. This program was developed in 1989 to meet the educational needs of children who are part of the Showmen's Guild of Australasia. Guild members and their families travel from town to town putting on agricultural…
Descriptors: Communication (Thought Transfer), Data Interpretation, Distance Education, Educational Research