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March 5, 2026Frontiers in EducationOpen Access

A multilevel model of university quality in Peru: an integrated evaluation of student satisfaction, competency development, and employment outcomes

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Authors

WQWalter Stalin Gil QuevedoACAbraham William García ChapoñanMVMoises Luis Cornelio Vicuña

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Overview

Tests a multilevel model evaluating university quality in Peru, indicating crucial factors affecting student satisfaction and employment outcomes.

Key Points

  • To develop and test a Multilevel Model of University Quality (MMUQ) integrating student and institutional factors in Peru.
  • Sample of 18,742 students across 42 universities
  • Integration of individual-level data and institutional-level characteristics
  • Hierarchical linear modeling (HLM) to analyze data
  • Institutional-level factors explain 31.4% of variance in quality scores
  • Student-level factors account for 68.6% of quality variance
  • Strong predictors include student satisfaction and perceived skills development
  • Accreditation, faculty qualifications, and library digitalization positively impact quality
  • Competency development mediates the relationship between university processes and employability outcomes.

Cite This Study

Quevedo et al. (2026) studied this question.

synapsesocial.com/papers/69a91cbed6127c7a504bfb89https://doi.org/10.3389/feduc.2026.1759422
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