The 1995 Armed Forces Sexual Harassment Survey: Statistical Methodology Report.

Abstract

This report provides statistical background information (sampling design, estimation procedures, and missing data compensation procedures) for the 1995 Status of the Armed Forces Surveys of sexual harassment. Three survey forms were used. Form A replicated the DoD-wide 1988 Survey of Sex Roles in the Armed Forces. Form B expanded and updated measures. Form C was created from parts of Forms A and B to assess the overlap of the incidence measures in the other forms. Each of the three survey populations included the worldwide distribution of active-duty Army, Navy, Marine Corps, Air Force, and Coast Guard personnel, with the exception of flag rank officers and personnel with less than approximately six months of service. The Form B and C survey populations also included members of the Reserve components in active-duty assignments in AGRITARs programs. A non-proportional stratified random sample of 91,006 personnel were selected: 30,756 for Form A, 50,394 for Form B, and 9,856 for Form C. Data collection was by mail starting 15 February 1995. Usable surveys were returned by 47,255 Service members for a weighted response rate of 54%. Responses were weighted up to population totals, adjusting for differential sampling and response rates in demographically homogeneous groups.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1996
Accession Number
ADA323943

Entities

People

  • Barbara J. George
  • Richard A. Riemer
  • Robert E. Mason
  • Timothy W. Elig

Organizations

  • RTI International

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Active Duty
  • Air Force
  • Coast Guard
  • Coast Guard Personnel
  • Data Centers
  • Data Science
  • Information Science
  • Marine Corps
  • Military Personnel
  • Native Americans
  • Personnel Management
  • Sampling
  • Sexual Harassment
  • Statistical Samples
  • Statistical Sampling
  • Statistics
  • Surveys

Readers

  • Gender and Food Studies
  • Personnel Management and Statistics in the Military and Department of Defense
  • Regression Analysis.