Statistical Design of the 1995-1996 Status of the Armed Forces Surveys.

Abstract

This report evaluates the original sampling designs and missing data compensation procedures for the 1995 Sexual Harassment Survey (SHS) and the 1996 Equal Opportunity Survey (EOS) in light of actual response rates experienced in each of the surveys. The average design effect, a measure of the efficiency of the design, computed over the 124 reporting domains used in the SHS design was 1.80. For the EOS, the average design effect computed over a total of 333 domains was 1.97. These results indicate both designs are reasonably efficient. Weighting class adjustments were used to compensate for non response in the SHS and inverse response propensity weighting was used to compensate for non response in the EOS. A comparison of the two shows that similar results were obtained. The modeling approach did produce slightly higher variances, but may have been more effective in reducing biases because of the additional variables used for the adjustments. Other means of reducing missing data biases are also discussed along with their advantages and disadvantages. These include adding additional mailings to the data collection schedule, decreasing the size and complexity of the questionnaire, and employing multiphase sampling designs.

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Document Details

Document Type
Technical Report
Publication Date
Dec 04, 1997
Accession Number
ADA333413

Entities

People

  • Jill D. Kavee
  • Robert E. Mason
  • Sara C. Wheeless

Organizations

  • RTI International

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Coast Guard
  • Computer Programs
  • Cost Models
  • Data Centers
  • Data Processing
  • Data Sets
  • Department Of Defense
  • Field Grade Officers
  • Military Personnel
  • Minority Groups
  • Native Americans
  • Personnel Management
  • Questionnaires
  • Sampling
  • Statistical Sampling
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Organizational Psychology.
  • Systems Analysis and Design