Literature DB >> 34941353

Balancing cultural specificity and generalizability: Brief qualitative methods for selecting, adapting, and developing measures for research with American Indian communities.

Emily E Haroz1, Jerreed D Ivanich2, Allison Barlow1, Victoria M O'Keefe1, Melissa Walls1, Cindy Kaytoggy1, Rose Suttle1, Novalene Goklish1, Mary Cwik1.   

Abstract

Culturally appropriate, valid and reliable measures are critical to assessing how interventions impact health. There is a tension between measures for specific cultural settings versus more general measures that permit comparisons across samples. We illustrate a feasible approach to measurement selection, adaptation and testing for a study of brief interventions to prevent suicide among American Indian youth ages 10-24. We used a modified Nominal Group Technique (NGT) with N = 7 Apache Community Mental Health Specialists (CMHS') to elicit priority impacts of interventions under study. We then tested the reliability and validity in N = 93 youth at baseline. The NGT results included selection of alternative measures, item removal and addition, and creation of a local well-being index. Measurement testing indicated excellent to good internal consistency (α: 0.82-0.96) and strong construct validity. Study results demonstrate a feasible approach to balancing cultural specificity and generalizability while producing valid and reliable measures to use in an intervention trial. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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Year:  2021        PMID: 34941353      PMCID: PMC9124435          DOI: 10.1037/pas0001092

Source DB:  PubMed          Journal:  Psychol Assess        ISSN: 1040-3590


  36 in total

1.  Culture and depression in global mental health: An ecosocial approach to the phenomenology of psychiatric disorders.

Authors:  Laurence J Kirmayer; Ana Gomez-Carrillo; Samuel Veissière
Journal:  Soc Sci Med       Date:  2017-04-26       Impact factor: 4.634

2.  Development and piloting of a brief intervention for suicidal American Indian adolescents.

Authors:  Mary F Cwik; Lauren Tingey; Angelita Lee; Rosemarie Suttle; Kristin Lake; John T Walkup; Allison Barlow
Journal:  Am Indian Alsk Native Ment Health Res       Date:  2016

3.  Research with American Indian and Alaska Native populations: Measurement matters.

Authors:  Melissa L Walls; Nancy Rumbaugh Whitesell; Allison Barlow; Michelle Sarche
Journal:  J Ethn Subst Abuse       Date:  2017-04-25       Impact factor: 1.507

Review 4.  How is depression experienced around the world? A systematic review of qualitative literature.

Authors:  E E Haroz; M Ritchey; J K Bass; B A Kohrt; J Augustinavicius; L Michalopoulos; M D Burkey; P Bolton
Journal:  Soc Sci Med       Date:  2016-12-22       Impact factor: 4.634

5.  Strengths-Based Assessment for Suicide Prevention: Reasons for Life as a Protective Factor From Yup'ik Alaska Native Youth Suicide.

Authors:  James Allen; Stacy M Rasmus; Carlotta Ching Ting Fok; Billy Charles; Joseph Trimble; KyungSook Lee
Journal:  Assessment       Date:  2019-09-20

6.  An alternative approach to cross-cultural function assessment.

Authors:  Paul Bolton; Alice M Tang
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2002-11       Impact factor: 4.328

7.  Making sense of Cronbach's alpha.

Authors:  Mohsen Tavakol; Reg Dennick
Journal:  Int J Med Educ       Date:  2011-06-27

8.  Development and cross-cultural testing of the International Depression Symptom Scale (IDSS): a measurement instrument designed to represent global presentations of depression.

Authors:  E E Haroz; J Bass; C Lee; S S Oo; K Lin; B Kohrt; L Michalopolous; A J Nguyen; P Bolton
Journal:  Glob Ment Health (Camb)       Date:  2017-09-11

9.  Employing a sequential multiple assignment randomized trial (SMART) to evaluate the impact of brief risk and protective factor prevention interventions for American Indian Youth Suicide.

Authors:  Victoria M O'Keefe; Emily E Haroz; Novalene Goklish; Jerreed Ivanich; Mary F Cwik; Allison Barlow
Journal:  BMC Public Health       Date:  2019-12-12       Impact factor: 3.295

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