全球智库信息集成服务系统

RAND found five options to increase GIT

• Option One increases GIT by integrating select training activities.
• Option Two integrates selected flights 50-percent male/50-percent female after the trainees leave their gender-segregated sleeping bays and are on the drill pad.
• Option Three integrates selected flights 50-percent male/50-percent female, with trainees integrating after morning hygiene by switching to an opposite-gender sleeping bay.
• Option Four integrates selected flights 75-percent male/25-percent female on the drill pad.
• Option Five integrates the sleeping bays themselves.

The USAF asked the RAND Corporation to assess ways to increase gender-integrated training (GIT) in Basic Military Training (BMT). RAND reviewed historical literature and the experiences of other services and devised five options for increased GIT. Options include integrating training activities, integrating flights to different male-female proportions both before and after fall out from sleeping bays, and modifying sleeping bays for full integration. This report provides a comparative analysis of these options, including costs for each one, as well as a monitoring framework to monitor the progress of any GIT option that the USAF might choose.

• Chapter One

  Introduction

• Chapter Two

  Review of Research Literature on GIT Effects

• Chapter Three

  Service GIT Models

• Chapter Four

  Options for Increasing GIT and Their Associated Costs

• Chapter Five

  Applying Historical BMT Data to Current Facility Constraints and GIT Options

• Chapter Six

  The Effects of Attrition on GIT Options

• Chapter Seven

  Considerations When Implementing GIT

• Chapter Eight

  Developing a Framework for Monitoring GIT in BMT

• Chapter Nine

  Conclusions and Recommendations

• Appendix A

  RAND Project Air Force BMT GIT Assessment Discussion Protocol

• Appendix B

  Cost Methodology and Analysis of Options for Integrating Sleeping Bays

• Appendix C

  Monitoring Framework for Implementing GIT in BMT

• Appendix D

  RAND Flight Optimization Model