Christina Cheng|Gerald R Elsworth|Richard H. Osborne
Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity
Deakin University|Swinburne University of Technology|Deakin University|Swinburne University of Technology|Deakin University|Swinburne University of Technology
health resources services increasingly delivered digital platforms ehealth literacy becoming set essential capabilities improve consumer health digital era understand ehealth literacy needs meaningful measure required strong initial evidence reliability construct validity inferences drawn ehealth literacy questionnaire ehlq obtained development denmark validity testing varying purposes ongoing cumulative processthis study aims examine validity evidence based relations variablesusing data collected knowngroups approachto explore ehlq robust tool understand ehealth literacy needs different contexts priori hypotheses set expected score differences among age sex education information communication technology ict use 7 ehealth literacy constructs represented 7 ehlq scalesa bayesian mediated multiple indicators multiple causes model approach used simultaneously identify group differences test measurement invariance differential item functioning across groups ict use mediator sample size 500 participants estimated data collected 3 diverse health sites australiaresponses 525 participants included analysis older significantly related lower scores 4 ehlq scales 3 ability actively engage digital services strongest effect total effect 037 p001 followed 1 using technology process health information total effect 032 p001 5 motivated engage digital services total effect 021 p01 7 digital services suit individual needs total effect 021 p02 however effects partially mediated ict use higher education associated higher scores 1 using technology process health information total effect 022 p01 3 ability actively engage digital services total effect 025 p001 effects mostly mediated ict use higher ict use related higher scores scales except 2 understanding health concepts language 4 feel safe control either ignorable cases differential item functioning found across 4 groupsby using bayesian mediated multiple indicators multiple causes model study provides supportive validity evidence ehlq based relations variables well established evidence regarding internal structure related measurement invariance across groups 7 scales australian community health context study also demonstrates ehlq used gain valuable insights peoples ehealth literacy needs help optimize access use digital health promote health equity