Development and Evaluating Self-Health Literacy Assessment in Pre Service Science Teacher: Analysis Rasch Model and SEM-PLS

Authors

  • Annisa Nur Khasanah Universitas Negeri Yogyakarta, Universitas Sebelas Maret
  • Dadan Rosana Universitas Negeri Yogyakarta
  • Insih Wilujeng Universitas Negeri Yogyakarta
  • Arifin Septiyanto Universitas Islam Negeri Sunan Ampel
  • Muhammad Nur Hudha Universitas Sebelas Maret

DOI:

https://doi.org/10.17977/um065.v6.i2.2026.10

Keywords:

Pre service science teacher, Rasch model, Self-health literacy, SEM PLS

Abstract

The study was conducted to develop and evaluate a Self Health Literacy Assessment Instrument using the Rasch Model and Structural Equation Modeling with Partial Least Squares (SEM-PLS) in Pre Service Science Teacher. The instrument was designed to evaluate individuals’ ability to access, understand, process, and apply self health information. Development proceeded through three stages: domain identification, item generation, and instrument construction. Pilot testing involved 211 pre service science teacher (25 male, 186 female). Twenty five items were initially administered; nine were removed due to low factor loadings and Average Variance Extracted values below recommended thresholds. Rasch analysis indicated robust psychometric performance, with person reliability of 0.89 and item reliability of 0.98. Infit and Outfit Mean Square statistics near 1.00 evidenced item fit, and point measure correlations indicated satisfactory discrimination. Complementary SEM-PLS results supported construct validity, with convergent validity acceptable (AVE = 0.550–0.583) and composite reliability adequate (CR = 0.805–0.865). A significant predictive path was identified between Understand and Process (β = 0.536). The finalized instrument contained 25 items by Rasch and 16 items by SEM-PLS across four dimensions. Overall, the measure is reliable and valid for assessing self health literacy and suitable for application in education and intervention research.

References

Acoba, E. F. (2024). Social support and mental health: The mediating role of perceived stress. Frontiers in Psychology, 15, 1–12. https://doi.org/10.3389/fpsyg.2024.1330720 DOI: https://doi.org/10.3389/fpsyg.2024.1330720

Andrich, D. (2018). Advances in social measurement: A Rasch measurement theory. In F. Guillemin, A. Leplège, S. Briançon, E. Spitz, & J. Coste (Eds.), Perceived health and adaptation in chronic disease (pp. 66–91). Routledge. https://doi.org/10.1201/9781315155074-10 DOI: https://doi.org/10.1201/9781315155074-7

Berkman, N. D., Sheridan, S. L., Donahue, K. E., Halpern, D. J., & Crotty, A. (2011). Low health literacy and health outcomes: An updated systematic review. Annals of Internal Medicine, 155(2), 97–107. DOI: https://doi.org/10.7326/0003-4819-155-2-201107190-00005

Bond, T. G., & Fox, C. M. (2015). Applying the Rasch model: Fundamental measurement in the human sciences (3rd ed.). Routledge. https://doi.org/10.4324/9781315814698 DOI: https://doi.org/10.4324/9781315814698

Brach, C., Keller, D., Hernandez, L. M., Baur, C., Parker, R., Dreyer, B., … Schyve, P. (2012). Ten attributes of health literate health care organizations. National Academies Press. DOI: https://doi.org/10.31478/201206a

Butler, L. D., Mercer, K. A., McClain-Meeder, K., Horne, D. M., & Dudley, M. (2019). Six domains of self-care: Attending to the whole person. Journal of Human Behavior in the Social Environment, 29(1), 107–124. https://doi.org/10.1080/10911359.2018.1482483 DOI: https://doi.org/10.1080/10911359.2018.1482483

Carbó-Carreté, M., Guàrdia-Olmos, J., Giné, C., & Schalock, R. L. (2016). A structural equation model of the relationship between physical activity and quality of life. International Journal of Clinical and Health Psychology, 16(2), 147–156. https://doi.org/10.1016/j.ijchp.2015.11.001 DOI: https://doi.org/10.1016/j.ijchp.2015.11.001

Cavanaugh, K. L., Ellis, J., White, A. T., Avison, D., & Shulman, J. (2008). Health literacy and patient-centered medical home. Journal of the American Board of Family Medicine, 21(6), 576–582.

Chin, W. W., & Newsted, P. R. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.

Colman, D. E., Echon, R., Lemay, M. S., McDonald, J., Smith, K. R., Spencer, J., & Swift, J. K. (2016). The efficacy of self-care for graduate students in professional psychology: A meta-analysis. Training and Education in Professional Psychology, 10(4), 188–197. https://doi.org/10.1037/tep0000130 DOI: https://doi.org/10.1037/tep0000130

Corral-Verdugo, V., & Frías-Armenta, M. (2016). The sustainability of positive environments. Environment, Development and Sustainability, 18(4), 965–984. https://doi.org/10.1007/s10668-015-9701-7 DOI: https://doi.org/10.1007/s10668-015-9701-7

Devon, H. A., Block, M. E., Moyle-Wright, P., Ernst, D. M., Hayden, S. J., Lazzara, D. J., Savoy, S. M., & Kostas-Polston, E. (2007). A psychometric toolbox for testing validity and reliability. Journal of Nursing Scholarship, 39(2), 155–164. https://doi.org/10.1111/j.1547-5069.2007.00161.x DOI: https://doi.org/10.1111/j.1547-5069.2007.00161.x

Dijkstra, T. K., & Henseler, J. (2015). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics and Data Analysis, 81, 10–23. https://doi.org/10.1016/j.csda.2014.07.008 DOI: https://doi.org/10.1016/j.csda.2014.07.008

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. DOI: https://doi.org/10.1177/002224378101800104

Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4, Article 7. https://doi.org/10.17705/1CAIS.00407 DOI: https://doi.org/10.17705/1CAIS.00407

Hair, J., & Alamer, A. (2022). Partial least squares structural equation modeling (PLS-SEM) in second language and education research. Research Methods in Applied Linguistics, 1(3), 1–16. https://doi.org/10.1016/j.rmal.2022.100027 DOI: https://doi.org/10.1016/j.rmal.2022.100027

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014 DOI: https://doi.org/10.1108/S1474-7979(2009)0000020014

Hergesell, A. (2022). Using Rasch analysis for scale development and refinement in tourism. Journal of Business Research, 142, 551–561. https://doi.org/10.1016/j.jbusres.2021.12.063 DOI: https://doi.org/10.1016/j.jbusres.2021.12.063

Hu, Q., & Schaufeli, W. B. (2009). The factorial validity of the Maslach Burnout Inventory–Student Survey in China. Psychological Reports, 105(2), 394–408. https://doi.org/10.2466/PR0.105.2.394-408 DOI: https://doi.org/10.2466/PR0.105.2.394-408

Islam, A. Y. M. A. (2023). Applying the Rasch model and structural equation modeling to higher education: The technology satisfaction model. Routledge. https://doi.org/10.1201/9781003384724 DOI: https://doi.org/10.1201/9781003384724

Jordan, J. E., Buchbinder, R., Briggs, A. M., Elsworth, G. R., Busija, L., Batterham, R., & Osborne, R. H. (2013). The Health Literacy Management Scale (HeLMS). Patient Education and Counseling, 91(2), 228–235. DOI: https://doi.org/10.1016/j.pec.2013.01.013

Kissil, K., & Niño, A. (2017). Does the person-of-the-therapist training promote self-care? Journal of Marital and Family Therapy, 43(3), 526–536. https://doi.org/10.1111/jmft.12213 DOI: https://doi.org/10.1111/jmft.12213

Kusuma, I. Y., Triwibowo, D. N., Pratiwi, A. D. E., & Pitaloka, D. A. E. (2022). Rasch modelling to assess psychometric validation of the KATUB-Q. International Journal of Environmental Research and Public Health, 19(24), Article 16753. https://doi.org/10.3390/ijerph192416753 DOI: https://doi.org/10.3390/ijerph192416753

Linacre, J. M. (2002). Optimizing rating scale category effectiveness. Journal of Applied Measurement, 3(1), 85–106.

Nutbeam, D. (2000). Health literacy as a public health goal. Health Promotion International, 15(3), 259–267. DOI: https://doi.org/10.1093/heapro/15.3.259

Whitehead, D. (2004). Health promotion and health education. Journal of Advanced Nursing, 47(3), 311–320. https://doi.org/10.1111/j.1365-2648.2004.03095.x DOI: https://doi.org/10.1111/j.1365-2648.2004.03095.x

World Health Organization. (2022). WHO guideline on self-care interventions for health and well-being. World Health Organization.

Downloads

Published

15-02-2026

How to Cite

Khasanah, A. N., Rosana, D., Wilujeng, I., Septiyanto, A., & Hudha, M. N. (2026). Development and Evaluating Self-Health Literacy Assessment in Pre Service Science Teacher: Analysis Rasch Model and SEM-PLS. Jurnal Pembelajaran, Bimbingan, Dan Pengelolaan Pendidikan, 6(2), 10. https://doi.org/10.17977/um065.v6.i2.2026.10

Issue

Vol. 6 No. 2 (2026)

Section

Articles

License

Copyright (c) 2026 Annisa Nur Khasanah, Dadan Rosana, Insih Wilujeng, Arifin Septiyanto, Muhammad Nur Hudha

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Funding data