On the Importance of Mixed Methods in the GCC

Harvard Dataverse 2026 Dataset Open access

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Authors: Abdulaziz G. Almuslem
DOI: 10.7910/dvn/rcpdhm
Cited by: 0

Abstract

Predictors of academic competitiveness at the global level range from the number of academic publications per university, citation metrics, among other indicators like mean math scores. This data examines some of those predictors to explore implications for social science development in the Gulf Cooperation Council (GCC) States.

Fields of Study & Subjects

scientometrics and bibliometrics research Higher Education Governance and Development Political Science Research and Education

Publication details

Journal / source
Harvard Dataverse
Publication date
12 February 2026
Language
EN
Document type
Dataset