Values of Quantitative Data Resulting in Qualitative Outcomes in Higher Education Institutions

Autor/in	Mohammad Ghulam Ali
Titel	Values of Quantitative Data Resulting in Qualitative Outcomes in Higher Education Institutions
Quelle	(2025) PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Zusatzinformation	ORCID (Mohammad Ghulam Ali)
Sprache	englisch
Dokumenttyp	gedruckt; online; Monografie
Schlagwörter	Forschungsbericht; Statistical Analysis; Educational Research; Research Methodology; Higher Education; Measurement; Outcomes of Education; Educational Quality; Reputation; Universities; Achievement Rating; Educational Indicators; Institutional Characteristics; Institutional Evaluation; Recognition (Achievement); Accreditation (Institutions) + Suchen Sie Ihr Suchwort? Statistische Analyse; Bildungsforschung; Pädagogische Forschung; Research method; Forschungsmethode; Hochschulbildung; Hochschulsystem; Hochschulwesen; Messverfahren; Lernleistung; Schulerfolg; Quality of education; Bildungsqualität; University; Universität; Achievement; Rating; Leistung; Beurteilung; Leistungsbeurteilung; Educational indicato; Bildungsindikator; Soziale Anerkennung; Accreditation; Institution; Institutions; Akkreditierung; Staatliche Anerkennung; Institut
Abstract	In general, quantitative data (numerical and measurable) and qualitative data (descriptive and subjective) in higher education institutions represent quality and finally result in the quality of the higher education institutions. This research paper is focusing on the overall theory values of quantitative data in terms of qualitative outcomes. In most cases, quantitative data is the root of quality. However, qualitative data plays an independent role in reflecting quality in certain cases, such as peers' perceptions. We can also not deny that, even if qualitative reputation is high, weak quantitative data can pull down the final outcome. Strong performance in quantifiable areas boosts visibility in national/global rankings and attracts students, faculty, collaborations, and funding. Employers and collaborators prefer institutions with quantifiable excellence. In the ranking process, quantitative data acts as the measuring indicators, and in the results and outcomes, it acts as the determinant of final positions and institutional reputation, shaping perceptions, funding, and policy directions. Strong quantitative performance creates credibility, which leads to better qualitative recognition. Quantitative data acts as the engine powering qualitative outcomes in university rankings. Therefore, submission of correct and complete quantitative data with accuracy, consistency, reliability, and integrity to any university ranking or accrediting agencies can influence qualitative outcomes (transformation) in higher education institutions during performance assessment, quality assurance, and accreditation. Quantitative information will help institutions in making data-driven decisions and guide them in identifying areas where urgent strategic improvements are required based on the benchmark of ranking with the next top 10 and feedback given by the accreditation agencies on their identified parameters of evaluation. As a result, it will reflect and improve overall institutions' effectiveness in terms of academics, research, innovation, collaboration, graduate outcomes, employability, sustainability, and societal impact through various academic and research programs offered. We need to be aware of the values of completeness, correctness and sensitivity in quantitative data while submitting to any ranking or accredited agency. We have tried to illustrate the values of quantitative data needed by the institutions to participate in three different ranking frameworks that are QS WUR, THE WUR, and NIRF India Ranking and how all these ranking frameworks rely on institutional quantitative data. (As Provided).
Begutachtung	unbekannt
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2025/4/10