Field procedures in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Steven G. Heeringa*, Nancy Gebler, Lisa J. Colpe, Carol S. Fullerton, Irving Hwang, Ronald C. Kessler, James A. Naifeh, Matthew K. Nock, Nancy A. Sampson, Michael Schoenbaum, Alan M. Zaslavsky, Murray B. Stein, Robert J. Ursano

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multi-component epidemiological and neurobiological study of unprecedented size and complexity designed to generate actionable evidence-based recommendations to reduce US Army suicides and increase basic knowledge about determinants of suicidality by carrying out coordinated component studies. A number of major logistical challenges were faced in implementing these studies. The current report presents an overview of the approaches taken to meet these challenges, with a special focus on the field procedures used to implement the component studies. As detailed in the paper, these challenges were addressed at the onset of the initiative by establishing an Executive Committee, a Data Coordination Center (the Survey Research Center [SRC] at the University of Michigan), and study-specific design and analysis teams that worked with staff on instrumentation and field procedures. SRC staff, in turn, worked with the Office of the Deputy Under Secretary of the Army (ODUSA) and local Army Points of Contact (POCs) to address logistical issues and facilitate data collection. These structures, coupled with careful fieldworker training, supervision, and piloting, contributed to the major Army STARRS data collection efforts having higher response rates than previous large-scale studies of comparable military samples.

Original languageEnglish
Pages (from-to)276-287
Number of pages12
JournalInternational Journal of Methods in Psychiatric Research
Volume22
Issue number4
DOIs
StatePublished - Dec 2013
Externally publishedYes

Keywords

  • Design effects
  • Epidemiologic research design
  • Mental disorders
  • Sample bias
  • Sample weights
  • Suicide
  • Survey design efficiency
  • Survey sampling
  • US Army

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