Preprint / Version 1

Institutional Typologies and Analyses of Higher Education

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DOI:

https://doi.org/10.1590/SciELOPreprints.11543

Keywords:

Institutional Typology, Higher Education, Multivariate Analyses, Factor Analysis, Cluster Analysis

Abstract

The production of scientific studies or supporting research for the formulation and implementation of public policies in a given Higher Education System (HES) should, especially in complex and diverse contexts, rely on information derived from its own internal dynamics, such as aspects related to the functioning and outcomes of its Higher Education Institutions (HEIs). Typically, these analyses are based on categorizations defined within the formal structure of the HES, which are not capable of unequivocally guiding the strategic and pedagogical decisions of HEI managers and maintainers, despite the constraints and possibilities that each type of HEI or maintainer may establish. In this regard, the application of statistical methods is considered as an alternative approach to understanding the dynamics of an HES, offering a perspective that transcends the structure outlined in current legislation by revealing analytical categories defined based on data that truly represent the reality of HEIs. As a context for applying this type of method, methodological choices related to an ongoing research project at the Higher Education Research Laboratory (Lapes) are presented. One of its objectives is to identify existing institutional typologies in HESs across Latin American countries.

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Author Biographies

Renato Augusto Dos Santos, Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep)

PhD in Education: Curriculum. Researcher-Technologist in Educational Information and Assessment at the National Institute for Educational Studies and Research Anísio Teixeira (Inep), Brasília, DF, Brazil.

Bruno Marão Raposo, Federal University of Rio de Janeiro

Graduate in Statistics. Data Scientist at the Health Care Fund for Banco do Brasil Employees (CASSI), Brasília, DF, Brazil.

Maria Clara Silva Cesar Carrijo, Federal University of Rio de Janeiro

Statistics Student at the University of Brasília (UnB), Brasília, DF, Brazil.

Posted

03/28/2025

How to Cite

Institutional Typologies and Analyses of Higher Education. (2025). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.11543

Section

Human Sciences

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Data statement

  • The research data cannot be made publicly available

    • Os dados utilizados na pesquisa eram originalmente públicos, mas foram tornados de acesso restrito em ambiente seguro do Inep, sob a justificativa de aplicação da LGPD.