Evaluation of psychometric properties of perceived value applied to universities

• Published in: PloS one Vol. 18; no. 4; p. e0284351
• Main Authors: Amado-Mateus, Marelby, Cuero-Acosta, Yonni Angel, Guzman-Rincón, Alfredo
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 11.04.2023; Public Library of Science (PLoS)
• Subjects: Accreditation; Adaptation; Biology and Life Sciences; Collaboration; College applications; Colleges & universities; Colombia; Community relations; Context; Education; Education, Higher; Factor analysis; Higher education; Humans; Learning; Management; Marketing; People and Places; Perceptions; Physical Sciences; Psychometrics - methods; Quality management; Quantitative psychology; Reproducibility of Results; Research and Analysis Methods; Services industry; Social Sciences; Students; Students, Nursing; Surveys and Questionnaires; Teaching; United Kingdom; Universities; Universities and colleges; Colombia; United Kingdom
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0284351

Over the past 20 years, the construct of perceived value has been the subject of much research, most of it applied to the service sector. The intangible nature of this sector requires an in-depth analysis of customer perceptions of what they give and what they receive. In this research, perceived value is applied in the context of higher education, where perceived quality faces several challenges and has a tangible component that is related to their experience when receiving the educational service, and an intangible component that is related to the image and reputation of the university. One of these challenges is the increasingly competitive environment of universities, so it is important to understand what factors influence students’ perception of value. For this purpose, several scales of perceived value were reviewed and one was selected and its psychometric properties were evaluated. For this evaluation, cultural adaptation techniques, exploratory factor analysis and confirmatory factor analysis were used. The statistical results showed the validity and reliability of the scale applied to universities in the Colombian context.