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Journal of Immigrant and Minority Health

, Volume 21, Issue 2, pp 271–277 | Cite as

Psychometric Properties of the Multidimensional Loss Scale with Refugee Women-at-Risk Recently Arrived in Australia

  • Lyn VromansEmail author
  • Robert D. Schweitzer
  • Mark Brough
  • Ignacio Correa-Velez
  • Kate Murray
  • Caroline Lenette
Original Paper
  • 103 Downloads

Abstract

Refugee women-at-risk represent a distinct and vulnerable refugee population. We investigated the psychometric properties of the Multidimensional Loss Scale (MLS) with 104 women-at-risk, recently-arrived in Australia. Cross-sectional survey included: the MLS (indexing loss events and loss distress); Harvard Trauma Questionnaire (Indexing Trauma Events and Trauma Symptoms), and; Hopkins Symptom Checklist-37 (indexing anxiety, depression, and somatization symptoms). Exploratory factor analyses of MLS loss distress revealed a six-factor model (loss of symbolic self; loss of home; loss of interdependence; loss of past aspirations; interpersonal loss, and; loss of intrapersonal integrity). Cronbach alphas indicated satisfactory internal consistency for loss events (0.83) and distress (0.88). Correlations supported convergent validity of loss distress with trauma symptoms (r = 0.41) and divergent validity with anxiety (r = 0.09), Depression (r = 0.29), and somatic (r = 0.24) symptoms. Findings support MLS use in assessment of loss and associated distress with refugee women-at-risk.

Keywords

Loss Refugees Women-at-risk Psychometric properties Assessment 

Notes

Funding

Funding was provided by Australian Research Council (ARC) Linkage Grant, ACCESS Community Services, and Australian Catholic University (Grant No. LP140100609).

Compliance with Ethical Standards

Conflict of interest

The authors declare they have no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Psychology and CounsellingQueensland University of TechnologyBrisbaneAustralia
  2. 2.School of Public Health and Social WorkQueensland University of TechnologyBrisbaneAustralia
  3. 3.School of Social Sciences, Forced Migration Research NetworkUniversity of New South WalesSydneyAustralia

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