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Razmgir, Maryam; Panahi, Sirous; Ghalichi, Leila; Mousavi, Seyed Ali Javad; Sedghi, Shahram – Research Evaluation, 2021
This article explores the models and frameworks developed on "research impact'. We aim to provide a comprehensive overview of related literature through scoping study method. The present research investigates the nature, objectives, approaches, and other main attributes of the research impact models. It examines to analyze and classify models…
Descriptors: Evaluation Research, Models, Evaluation Methods, Classification
Limones Meráz, Tomás Francisco; Amador, Julieta Flores; Reaiche, Carmen – Industry and Higher Education, 2021
To keep up with rapid evolutions in technical and scientific developments, countries must create competitive dynamics that enable key actors to generate high-tech projects, boosting both a country's productivity and economic development. Higher education institutions (HEIs), with their intellectual capital and as core generators of knowledge, are…
Descriptors: School Business Relationship, Foreign Countries, Competition, Technological Advancement
Breetzke, Gregory D.; Hedding, David W. – Studies in Higher Education, 2020
In this paper we critically examine the research landscape in South Africa. We do this by documenting the progression and transformation of the country's National Research Foundation (NRF)-rated researchers from 2005 to 2015. Results indicate that most NRF-rated researchers in South Africa are white and male but this trend is slowly changing with…
Descriptors: Research Administration, National Organizations, Researchers, Blacks
Newman, Denis; Jaciw, Andrew P. – Empirical Education Inc., 2012
The motivation for this paper is the authors' recent work on several randomized control trials in which they found the primary result, which averaged across subgroups or sites, to be moderated by demographic or site characteristics. They are led to examine a distinction that the Institute of Education Sciences (IES) makes between "confirmatory"…
Descriptors: Educational Research, Research Methodology, Research Design, Classification
Liu, Xing – Online Submission, 2008
The proportional odds (PO) model, which is also called cumulative odds model (Agresti, 1996, 2002 ; Armstrong & Sloan, 1989; Long, 1997, Long & Freese, 2006; McCullagh, 1980; McCullagh & Nelder, 1989; Powers & Xie, 2000; O'Connell, 2006), is one of the most commonly used models for the analysis of ordinal categorical data and comes from the class…
Descriptors: Computer Software, Grading, Classification, Researchers

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