420
Views
0
CrossRef citations to date
0
Altmetric
Assessment, Development, and Validation

The Self-Stigma of Seeking Help (SSOSH) Scale: Measurement Invariance Across Men from Different Backgrounds

, &
Pages 15-29 | Published online: 19 Jan 2023
 

Abstract

The present study examined the measurement invariance and latent mean differences of three versions of the Self-Stigma of Seeking Help scale among demographic profiles of men. Results revealed strong invariance for the three scales across all demographic groups. Differences in strict invariance and latent mean differences were identified. Public significance: The Self Stigma of Seeking Help scale has widely been used to investigate barriers and pathways men experience when seeking professional psychological help. The present paper reports results that show that a range of groups of men (based on their race/ethnic group, sexuality, and age cohort) understand the scale in the same way, and thus the scale can be used to compare their scores.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Carlos A. Vidales

Carlos A. Vidales is a Doctoral Candidate in the Counseling Psychology Department at Iowa State University.

David L. Vogel

David L. Vogel is a Professor and Associate Department Chair in the Department of Psychology, and Director of Communication Studies Program at Iowa State University.

Ronald F. Levant

Ronald F. Levant is a Professor Emeritus of Psychology at The University of Akron.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 198.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.