2017 Measuring Rights-Based Perspectives A Validation of the Human Rights Lens in Social Work Scale.pdf: A validation of the human rights lens in social work scale

Carl Siebert, Jane McPherson, Darcy Clay Siebert

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Objective: This article reports the initial validation of the Human Rights Lens in Social Work (HRLSW) scale, a tool designed to measure a social work-er’s ability to see individual and social problems as resulting from human rights violations. The purpose of the research was to gather evidence regarding the validity of this multidimensional measure of a new construct, i.e., human rights lens. Method: Data from a convenience sample of 1,014 licensed clinical social workers were collected by electronic survey, and the sample was split to conduct discrete exploratory and confirmatory factor analyses. The exploratory factor analysis was performed on half of the sample (n = 507) to establish the underlying factor structure of the construct; the other half of the sample (n = 507) underwent a confirmatory factor analysis to examine the subsample’s psychometric properties. Results: A respecified model using only one error covariance fit the data very well. All fit indices were within their critical values (x2/df ratio = 1.5; CFI =.99; TLI =.99; RMSEA =.03; SRMR =.03). Thus, factor analysis confirms a two-factor, 11-item model for the HRLSW scale, consisting of two subscales, clients seen as experiencing rights violations, and social problems seen as rights violations. Conclusions: This scale is a useful tool for educators, researchers, and practitioners who want to practice—or promote the practice of—social work as a human rights profession.

Original languageAmerican English
Pages (from-to)233-257
Number of pages25
JournalJournal for the Society for Social Work and Research
Volume25
Issue number1
DOIs
StatePublished - 1 Jun 2017

Keywords

  • Human rights
  • Human rights practice
  • Social work
  • Social workers
  • Validation studies

EGS Disciplines

  • Social and Behavioral Sciences

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