Health Promotion Literacy-based Scale for students in USR

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Abstract

University Social Responsibility (USR) initiatives have become a cornerstone of modern higher education, shifting the academic focus from isolated ivory towers to active community engagement. While the societal benefits of these programs are frequently documented, evaluating the internal psychological and educational transformations within the participating students remains a complex challenge. To address this, researchers developed the Health Promotion Literacy-based Scale for students in USR (HPLS-USR). This instrument is designed to capture the nuanced development of Civic Literacy, personal growth, and social awareness that students undergo when they step out of the classroom and into community service roles.

By operationalizing the abstract concept of 'Civic Literacy' into measurable dimensions, the HPLS-USR provides educators and psychometricians with a robust tool to quantify the Experiential Learning process. The scale moves beyond simple satisfaction metrics, probing deeply into how students internalize their social responsibilities, interact with diverse populations, and grow intellectually. For institutions committed to fostering well-rounded, socially conscious graduates, this scale offers a critical mechanism for evaluating and refining their USR curricula.

📊 Psychometric Scorecard

Items Count
22
Structure
Multidimensional
Cronbach's α
0.92
Validation Country
📍 Taiwan

Authors

🏛 Department of Occupational Therapy, Chung Shan Medical University

🏛 Department of Nursing, Chung Shan Medical University

🏛 Department of Psychology, Chung Shan Medical University

🏛 Department of Pharmacology, School of Medicine, Chung Shan Medical University

🏛 Department of Medical Applied Chemistry, Chung Shan Medical University

Purpose

Historically, the evaluation of university community programs has skewed heavily toward external outcomes, such as the economic or health benefits delivered to a specific neighborhood. However, this outward focus neglects a primary stakeholder in the educational ecosystem: the student. The HPLS-USR was engineered to fill this critical measurement gap by providing a standardized, psychometrically validated method for assessing the internal, cognitive, and attitudinal shifts that occur within students during USR participation.

For researchers and educational psychologists, this scale is invaluable because it translates theoretical pedagogical goals into empirical data. Instead of relying on anecdotal reflections or generic course evaluations, administrators can use the HPLS-USR to systematically measure whether a specific community-based curriculum is actually fostering the intended civic mindedness and intellectual maturity. This allows for evidence-based curriculum design and ensures that universities are meeting their dual mandate of community service and student development.

Construct

The psychological architecture of the HPLS-USR is deeply rooted in Social Learning Theory and Dewey's philosophy of Experiential Learning. The core premise is that Civic Literacy is not a static trait acquired through passive listening, but a dynamic construct forged through active social interaction, observation, and critical reflection. The scale conceptualizes this literacy as a multidimensional framework encompassing four distinct but interrelated domains: personal growth, responsibility of citizenship, social interaction, and intellectual growth.

Personal growth captures the student's evolving self-awareness and emotional resilience when faced with real-world challenges. The responsibility of citizenship dimension measures the internalization of civic duties and the shift from a self-centric worldview to a community-oriented one. Social interaction evaluates the student's capacity to navigate complex interpersonal dynamics and collaborate across diverse groups. Finally, intellectual growth assesses the cognitive leaps made when students apply theoretical classroom knowledge to solve unstructured, practical problems in the community. Together, these factors form a comprehensive profile of a socially responsible learner.

Validity

To establish the structural integrity of the HPLS-USR, the developers subjected the initial item pool to rigorous psychometric scrutiny. The sampling adequacy was confirmed to be excellent, with a Kaiser-Meyer-Olkin (KMO) index of 0.908, indicating that the data was highly suitable for structure detection. Furthermore, Bartlett's Test of Sphericity yielded a highly significant result, assuring researchers that the correlation matrix was not an identity matrix and that the variables were adequately related for factor extraction.

Beyond structural checks, the researchers also evaluated criterion-related validity by comparing the HPLS-USR against established measures like the Service-Learning Experiences Scale and the Service-Learning Growth Scale. By demonstrating that the new scale aligns theoretically and statistically with these existing benchmarks, the developers provided strong evidence that the HPLS-USR accurately captures the intended construct of experiential civic learning.

Convergent & Discriminant Validation Correlations

Reference Instrument Correlation Coefficient (r)
Service-Learning Experiences Scale (SLES)
Service-Learning Growth Scale (SLGS)

Reliability

In psychometric assessment, a scale's utility is heavily dependent on its internal consistency, and the HPLS-USR demonstrates exceptional reliability in this regard. The final 22-item instrument achieved an overall Cronbach's alpha coefficient of 0.92. In the context of scale development, an alpha value exceeding 0.90 indicates a very high degree of interrelatedness among the items, suggesting that they are consistently measuring the same underlying construct of USR literacy.

For graduate students and researchers utilizing this tool, this high reliability coefficient means that the scale will yield stable and consistent scores across different cohorts of students. It minimizes measurement error, allowing educators to be confident that the variations in scores genuinely reflect differences in students' Civic Literacy and personal growth, rather than statistical noise or ambiguous item wording.

Factor Analysis

The dimensionality of the HPLS-USR was explored using Exploratory Factor Analysis (EFA), a standard and robust approach when defining the underlying structure of a newly developed instrument. The EFA successfully distilled the item pool into a clean, interpretable four-factor model. These four factors—personal growth, citizenship responsibility, social interaction, and intellectual growth—collectively accounted for a substantial 61.83% of the total variance in the scale, which is a strong explanatory threshold for psychological and educational measures.

The item-level performance was equally robust, with individual factor loadings ranging from 0.44 to 0.82. These loadings indicate that each of the 22 retained items contributes meaningfully to its respective latent factor without excessive cross-loading. This clean factor structure not only validates the theoretical framework proposed by the authors but also ensures that the subscales can be used independently or aggregately to provide a granular view of a student's developmental trajectory.

Subscales

Subscale Items Description
Personal Growth Measures the student's evolving self-awareness, emotional resilience, and individual development resulting from community engagement.
Responsibility of Citizenship Assesses the internalization of civic duties, altruism, and the shift toward a community-oriented mindset.
Social Interaction Evaluates the capacity to navigate interpersonal dynamics, collaborate with diverse groups, and build relationships in a social context.
Intellectual Growth Captures the cognitive development and problem-solving skills gained by applying academic knowledge to real-world community issues.

Instrument

Test Type Self-report questionnaire
Format 22 items, 5-point Likert scale (1 = never to 5 = always)
Scoring Total score is calculated by summing all items. Higher scores indicate greater literacy development and more positive reflections on the USR experience.
Language Chinese
Population College students
Age Group Mean age 19.27
Administration Self-administered

Scoring & Interpretation Guidelines

Scoring Instructions Scores are summed across all 22 items. A higher total score reflects a higher level of Civic Literacy and a more positive developmental experience within the USR curriculum.

Health Promotion Literacy-based Scale for students in USR Items

📋 Items are currently not available

The individual items of this scale are not publicly available. Researchers interested in using this instrument should contact the original authors directly to request the scale materials.

Sample

The validation sample consisted of 200 undergraduate students (average age 19.27 years) who had participated in University Social Responsibility programs. Data was collected following a 5:1 participant-to-item ratio guideline for psychometric testing.

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Cite This Paper

Chia-Hui Hung, Cheng-Yi Huang, Yu-Ming Wang, Yi-Ching Li, Yung-Chuan Ho (2022). Health Promotion Literacy-based Scale for students in USR. International journal of environmental research and public health. https://doi.org/10.3390/ijerph19084545

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References
45 references
  1. Nuchprasop (2018). A Causal relationship model of students’ participatory behavior towards University Social Responsibility. J. Behav. Sci., 13 15.
  2. Shaari (2018). The impact of University Social Responsibility towards producing good citizenship: Evidence from Malaysia. Int. J. Organ. Leadersh., 7 374. 🔗 https://doi.org/10.33844/ijol.2018.60183
  3. Sánchez, R.G., Flórez-Parra, J.M., López-Pérez, M.V., and López-Hernández, A.M. (2020). Corporate governance and disclosure of information on corporate social responsibility: An analysis of the top 200 universities in the shanghai ranking. Sustainability, 12. 🔗 https://doi.org/10.3390/su12041549
  4. Latif (2018). The development and validation of stakeholder-based scale for measuring University Social Responsibility (USR). Soc. Indic. Res., 140 511. 🔗 https://doi.org/10.1007/s11205-017-1794-y
  5. (2014). The importance of University Social Responsibility in Hispanic America: A responsible trend in developing countries. Critical Studies on Corporate Responsibility, Governance and Sustainability. Corporate Social Responsibility and Sustainability: Emerging Trends in Developing Economies, Volume 8 241. 🔗 https://doi.org/10.1108/S2043-905920140000008013
  6. Chiang (2018). Integrating collaboration of university and indigenous tribe for the development of tribal tourism: A case study of Jialan tribe in Jinfeng township, Taitung. Sustain. Community-Based Tour. Stud., 2 1.
  7. Altbach, P.G., Rieisberg, L., and Rumbley, L.E. (2009). Trends in global higher education: Tracking an academic revolution. A Report Prepared for the UNESCO 2009 World Conference of Higher Education, UNESCO. 🔗 https://doi.org/10.1163/9789004406155
  8. Decker (2004). Corporate social responsibility and structural change in financial services. Manag. Audit. J., 19 712. 🔗 https://doi.org/10.1108/02686900410543840
  9. Rychen, D.S., and Salganik, L.H. (2003). Definition and selection of key competencies: Theoretical and conceptual foundations (DeSeCo), summary of the final report “key competencies for a successful life and a well-functioning society, Key Competencies for a Successful Life and a Well-Functioning Society.
  10. Eurydice, A. (2005). Citizenship Education at School in Europe, Eurydice.
  11. Dewey, J. (1933). How We Think: A Restatement of the Relation of Reflective Thinking to the Educative Process, Henry Regnery Co.
  12. Schön, D.A. (1983). The Reflective Practitioners: How Professionals Think in Action, Basic Books.
  13. Izuma (2013). The neural basis of social influence and attitude change. Curr. Opin. Neurobiol., 23 456. 🔗 https://doi.org/10.1016/j.conb.2013.03.009
  14. Petty, R.E., and Cacioppo, J.T. (1981). Attitudes and Persuasion: Classic and Contemporary Approaches, Wm. C. Brown.
  15. Cialdini, R. (1993). Influence: Science and Practice, Scott, Foresman. [2nd ed.].
  16. Bandura, A. (1977). Social Learning Theory, Prentice-Hall.
  17. Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory, Prentice-Hall.
  18. Kassin, S., Fein, S., and Markus, H.R. (2020). Social Psychology, Cengage Learning. [11th ed.].
  19. Aguinis (2012). What we know and don’t know about corporate social responsibility: A review and research agenda. J. Manag., 38 932.
  20. Buchta (2018). University Social Responsibility—Theory vs. practice. Res. Pap. Wroc. Univ. Econ., 520 22.
  21. Shek (2019). University Social Responsibility and promotion of the quality of life. Int. J. Child Adolesc. Health, 12 33.
  22. Hopkins, M. (1998). The Planetary Bargain: Corporate Social Responsibility Comes of Age, Macmillan.
  23. UNDP (2021, December 24). Sustainable Development Goals. Available online: https://www.undp.org/content/undp/en/home/sustainable-development-goals.html.
  24. Chen (2021). Transnational universities, host communities and local residents: Social impacts, University Social Responsibility and campus sustainability. Int. J. Sustain. High. Educ., 22 88. 🔗 https://doi.org/10.1108/IJSHE-10-2020-0397
  25. Hartman (2007). The communication of corporate social responsibility: United States and European Union multinational corporations. J. Bus. Ethics, 74 373. 🔗 https://doi.org/10.1007/s10551-007-9513-2
  26. Matten (2004). Corporate social responsibility education in Europe. J. Bus. Ethics, 54 323.
  27. Mainardes (2016). University Social Responsibility: A student base analysis in Brazil. Int. Rev. Public Nonprofit Mark., 13 151. 🔗 https://doi.org/10.1007/s12208-016-0158-7
  28. Vasilescu (2010). Developing University Social Responsibility: A model for the challenges of the new civil society. Procedia Soc. Behav. Sci., 2 4177. 🔗 https://doi.org/10.1016/j.sbspro.2010.03.660
  29. Steinberg (2011). Civic-minded graduate: A north star. Mich. J. Community Serv. Learn., 18 19.
  30. Yeh (2018). Effect of a service-oriented learning course on students’ active citizen attitudes and skills. J. Gen. Educ. Concept. Pract., 7 37.
  31. Chao (2018). Developing and validating the service-learning outcome questionnaire. J. Serv. Learn. Soc. Engagem., 1 19.
  32. Chen (2016). An exploratory study for College students’ service-learning experiences and growth scales. J. Holist. Educ., 14 63.
  33. Lynn (1986). Determination and quantification of content validity. Nurs. Res., 35 382. 🔗 https://doi.org/10.1097/00006199-198611000-00017
  34. Zamanzadeh (2015). Design and implementation content validity study: Development of an instrument for measuring patient-centered communication. J. Caring Sci., 4 165. 🔗 https://doi.org/10.15171/jcs.2015.017
  35. Tabachnick, B.G., and Fidell, L.S. (2007). Multilevel Linear Modelling. Using Multivariate Statistics, Pearson.
  36. Nunnally, J.C. (1978). Psychometric Theory, McGraw-Hill.
  37. DeVellis, R.F. (2012). scale development: Theory and Applications, SAGE.
  38. Tabachnick, B.G.F.L.S. (2007). Using Multivariate Statistics, Pearson/Allyn & Bacon.
  39. Horn (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30 179. 🔗 https://doi.org/10.1007/BF02289447
  40. Su, L.-W. (2020). The Influence of Promoting University Social Responsibility on Students’ Willingness in Social Participation. [Master’s Thesis, National Sun Yat-Sen University].
  41. Ling, M.-J. (2019). The Study on Environmental Literacy of Society Participation for Students Based on Practice of University Social Responsibility. [Master’s Thesis, Da-Yeh University].
  42. Aronson, E., Wilson, T.D., Akert, R.M., and Sommers, S.R. (2016). Social Psychology, Pearson Education. [9th ed.].
  43. Skoglund (2020). Using the theory of planned behavior to evaluate factors that influence pharmd students’ intention to attend lectures. Am. J. Pharm. Educ., 84 572. 🔗 https://doi.org/10.5688/ajpe7550
  44. Topale, L. (2016). The strategic use of lecture recordings to facilitate an active and self-directed learning approach. BMC Med. Educ., 16. 🔗 https://doi.org/10.1186/s12909-016-0723-0
  45. Chrislip, D.D., and Larson, C.E. (1994). Collaborative Leadership: How Citizens and Civic Leaders Can Make a Difference, Jossey-Bass.

Cite this article

Mohammed looti (2026). Health Promotion Literacy-based Scale for students in USR. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/s/health-promotion-literacy-based-scale-for-students-in-usr/

Mohammed looti. "Health Promotion Literacy-based Scale for students in USR." PSYCHOLOGICAL SCALES, 14 Aug. 2026, https://scales.arabpsychology.com/s/health-promotion-literacy-based-scale-for-students-in-usr/.

Mohammed looti. "Health Promotion Literacy-based Scale for students in USR." PSYCHOLOGICAL SCALES, 2026. https://scales.arabpsychology.com/s/health-promotion-literacy-based-scale-for-students-in-usr/.

Mohammed looti (2026) 'Health Promotion Literacy-based Scale for students in USR', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/s/health-promotion-literacy-based-scale-for-students-in-usr/.

[1] Mohammed looti, "Health Promotion Literacy-based Scale for students in USR," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, August, 2026.

Mohammed looti. Health Promotion Literacy-based Scale for students in USR. PSYCHOLOGICAL SCALES. 2026;vol(issue):pages.

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