Bartosz Aniśko, Idzi Siatkowski, Małgorzata Wójcik
Body mass composition analysis as a predictor of overweight and obesity in children and adolescents
Frontiers in public health
progression digital age brought array novel skill requirements unlike traditional literacy currently measures reliably measure ehealth literacy transactional model ehealth literacy subsequent transactional ehealth literacy instrument may provide feasible option measuring ehealth literacy instrument yet validated aim study particular article conducted validate tehli see components tool many components included would best fit statistically whether tool applies groups different characteristics conducted online crosssectional study among 236 vietnamese young people exploratory factor analysis used identify best fit model transactional ehealth literacy instrument confirmatory factor analysis tested measurement invariance four levels configural metric scalar strict invariance metric invariance partially invariant rest tested fully invariant even partial metric invariance reason assume functional communicative critical translational ehealth literacy four levels according transactional model consistently measured deploying transactional ehealth literacy instrument across groups study findings substantiate optimal composition tehli consists four factors functional communicative critical translational ehealth literacy rmsea 0116 cfi 0907 highest internal consistency cronbachs 091 092 088 092 factor respectively using measurement invariance gender education marital status age location household economy influence way participants respond tehli point would introduce measurement bias word using tehli across population groups produce error margins substantially differ study suggests instrument used comparisons across groups potential generate highquality data usable informing change agents whether particular population proficient enough adopt novel ehealth innovations