Extending intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to study individual longitudinal trajectories, with application to mental health in the UK

Bell, A. orcid.org/0000-0002-8268-5853, Evans, C., Holman, D. et al. (1 more author) (2024) Extending intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to study individual longitudinal trajectories, with application to mental health in the UK. Social Science and Medicine, 351. 116955. ISSN 0277-9536

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Keywords: intersectionality; MAIHDA; multilevel models; longitudinal analysis; mental health
Dates:
  • Published: June 2024
  • Published (online): 11 May 2024
  • Accepted: 8 May 2024
  • Submitted: 12 December 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Methods Institute
Funding Information:
Funder
Grant number
ECONOMIC & SOCIAL RESEARCH COUNCIL
ES/X011313/1
Depositing User: Symplectic Sheffield
Date Deposited: 15 May 2024 11:02
Last Modified: 22 May 2024 09:51
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.socscimed.2024.116955
Open Archives Initiative ID (OAI ID):

Export

Statistics