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Related Concept Videos

Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Related Experiment Videos

Who Leads, What Matters? Machine Learning and the Complexity of University Performance.

María Teresa Ballestar1,2, Kathrin Komp-Leukkunen2, Jorge Malfeito-Gaviro1

  • 1Universidad Rey Juan Carlos, Madrid, Spain.

Plos One
|May 28, 2026
PubMed
Summary

This study identifies five distinct clusters of Spanish public universities based on performance and management. Leadership styles and institutional characteristics significantly influence university efficiency and goal achievement.

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Area of Science:

  • Higher Education Management
  • Organizational Leadership
  • Public Administration

Background:

  • Leadership significantly influences public institution efficiency, especially in universities.
  • Spanish public universities feature unique rector election processes involving academics, staff, and students.
  • Understanding leadership impact requires analyzing institutional performance and management characteristics.

Purpose of the Study:

  • To analyze Spanish public universities using a unique dataset.
  • To identify distinct university clusters based on performance and management.
  • To explore the relationship between rector profiles and institutional characteristics.

Main Methods:

  • Utilized a unique database of Spanish public universities.
  • Categorized data across academic/research performance, social objectives, internationalization, university characteristics, and rector profiles.
  • Applied K-Means unsupervised machine learning algorithm for cluster analysis.

Main Results:

  • Identified five distinct clusters of Spanish public universities.
  • Each cluster is characterized by a unique combination of institutional performance indicators.
  • Management characteristics and rector profiles vary across the identified clusters.

Conclusions:

  • The study reveals significant heterogeneity among Spanish public universities.
  • Distinct clusters suggest different strategic orientations and performance profiles.
  • Leadership and management characteristics are key differentiators in university performance.