Predictive Modeling of Occupational Resilience and Clinical Attrition among Radiologic Technology Students: Benchmarking against Global Quality Assurance Standards
Ma. Victoria Patrimonio, Ahmeda Ali and Mark Alipio
Received: 04 June 2026; Revised: 04 August 2026; Accepted: 17 August 2026; Published: 27 August 2026
DOI: https://doi.org/10.66074/F2M6Q9C4
Abstract
Background: Radiologic Technology education combines intensive academic preparation with progressively complex clinical expectations. Resilience may protect students against attrition, while quality assurance frameworks increasingly require programs to use outcome data for continuous improvement. Objective: To model the association between occupational resilience and clinical attrition propensity among Radiologic Technology students and compare institutional indicators with selected international quality assurance expectations. Methods: This is a single-institution prospective analytic design for all 80 Bachelor of Science in Radiologic Technology students at Iligan Medical Center College from January to May 2025. Resilience was assessed with the 10-item Connor-Davidson Resilience Scale, and attrition propensity with a five-item dropout-intention measure adapted to Radiologic Technology. Analyses included reliability assessment, descriptive statistics, correlation, multivariable linear regression, bootstrap internal validation, and quality assurance benchmarking. Results: The cohort had a mean resilience score of 25.28 (SD = 4.37) and attrition-propensity score of 13.41 (SD = 3.83). Resilience correlated inversely with attrition propensity, r = -.69, p < .001. In the adjusted model, resilience was the only significant predictor, B = -0.59, SE = 0.09, beta = -.67, p < .001. The model explained 48.9% of variance, with an optimism-corrected R2 of .45. Semester continuation was 96.3%. Conclusion: Resilience showed value as a program-level early-warning indicator for retention surveillance. Larger multisite cohorts are required before individual prediction or external generalization.
Keywords: academic persistence, clinical education, diagnostic radiography, student retention
Author Information: Iligan Medical Center College, Philippines; mark.alipio@imcc.edu.ph
Volume 1, Issue 1, September 2026