This paper is in the following e-collection/theme issue:

eHealth Literacy / Digital Literacy (396) Research Instruments, Questionnaires, and Tools (590) New Methods (964) Theme Issue: Bayesian Methods In Medical Research (26) Assessing and Building eHealth / Digital Literacy in Populations (35) Demographics of Users, Social & Digital Divide (761)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30243, first published .
Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity

Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity

Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity

Authors of this article:

Christina Cheng1, 2 Author Orcid Image ;   Gerald Elsworth1, 2 Author Orcid Image ;   Richard H Osborne1, 2 Author Orcid Image
Article Authors Cited by (25) Tweetations (13) Metrics

Christina Cheng   1, 2 * , PhD ;   Gerald Elsworth   1, 2 * , PhD ;   Richard H Osborne   1, 2 * , PhD

1 Centre for Global Health and Equity, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia

2 School of Health and Social Development, Faculty of Health, Deakin University, Burwood, Australia

*all authors contributed equally

Corresponding Author:

  • Christina Cheng, PhD
  • Centre for Global Health and Equity
  • School of Health Sciences
  • Swinburne University of Technology
  • Room 907, Level 9, AMDC Building
  • 453/469-477 Burwood Road
  • Hawthorn, Victoria 3122
  • Australia
  • Phone: 61 392145470
  • Email: cccheng@swin.edu.au