The reflective measurement model of adherence to non-pharmaceutical interventions (NPIs) in accordance with normalization process theory (NPT) in coherent and convenient social subgroups: PLS-SEM analysis.
| Autor: | Pavic, Magda Pletikosa, Pranic, Shelly Melissa, Mastelic, Tonci, Kljucevic, Zeljko, Gotovac, Majda, Savicevic, Anamarija Jurcev, Kozina, Tonci, Kozina, Slavica |
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| Předmět: |
PATIENT compliance
STATISTICAL models MULTITRAIT multimethod techniques CROSS-sectional method SUBSTANCE abuse LOCUS of control CRONBACH'S alpha DATA analysis STATISTICAL sampling QUESTIONNAIRES RESEARCH evaluation KRUSKAL-Wallis Test REFLECTION (Philosophy) SOCIAL groups STRUCTURAL equation modeling CHI-squared test AGE distribution DESCRIPTIVE statistics MEDICAL students ODDS ratio CONCEPTUAL structures STATISTICS CONFIDENCE intervals DATA analysis software COVID-19 EDUCATIONAL attainment |
| Zdroj: | European Journal of Public Health; Oct2024, Vol. 34 Issue 5, p902-907, 6p |
| Abstrakt: | Background Non-pharmaceutical interventions (NPIs) decrease COVID-19 transmission. Reliability and validity of adherence to NPIs in accordance with normalization process theory (NPT) in coherent and convenient social subgroups using reflective measurement model assessment has not been evaluated. Methods In February 2021, a sample of medical students and people with substance use disorders in treatment as coherent (based on continuous probability distribution) vs. convenient groups (based on convenience, not equal probability) composed of travellers and COVID-19 suspected persons from Split-Dalmatia County (SDC) (n = 656) in the Mediterranean completed self-administered surveys. Partial least squares structural equation modelling (PLS-SEM) was used to measure reflective model assessment of adherence to NPIs according to NPT. Results PLS-SEM reflective model assessment provided two-group specific factors in inverse relationships which determined adherence to NPIs with excellent goodness-of-fit [ χ 2 = 1.292, df = 1; P = 0.297, CFI = 1, TLI = 0.997, RMSEA = 0.011 (90% CI 0–0.105), RMSEA P = 0.604, SRMR = 0.008, Hoelter CN (α = 0.05) = 2322.757]. Significant negative factors covariance estimate (−0.716) revealed an inverse relationship between first (adherence to NPIs and internal locus of control (LoC) (0.640)) and second factor; young adulthood age (≤25) and highest level of education (1362). As the first factor increased the second tended to decrease. LoC is expected potential mechanism by which sex (ML |
| Databáze: | Complementary Index |
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