2023-03-08-兰德-将空军职能领域的人口多样性与接近同等水平的平民进行比较-空军职业多样性基准工作手册（英）-2023_43页_572kb

Key Challenges in Benchmarking Air Force Functional Areas:
Air Force personnel differ from civilians in education, age, citizenship, and work status, complicating direct comparisons. Unique military-specific skills and responsibilities further limit benchmark utility, requiring adjustments like raking to align age/education distributions but still resulting in imperfect matches due to varied pipelines and unobservable differences.

Benchmarking Methodology:

• Narrow Benchmark: Matches AFSC to narrow civilian occupations.
• Broad Benchmark: Aggregates civilian occupations for broader comparisons.
• All Civilians Benchmark: Compares AFSC to all civilians with adjusted demographics, removing veterans and restricting by education.

Interpretation Guidelines:

• Color-coding indicates over/underrepresentation relative to military benchmarks vs. AFSC-level distribution.
• Degrees derived from Equation (1), showing percentage differences in benchmark vs. overall DAF representation.
• Benchmarks are patterns—confirmation with accession data or context-specific analysis is needed to infer barriers.

Observations from Examples:

• Fighter Pilots: Overrepresented White men, under White women and Minorities.
• Munitions Systems: Disproportionate minority representation; civilian benchmarks problematic due to national security context.
• Medical/Nurse Corps: Unique AFSC mix allows better benchmarking, revealing concentration patterns in healthcare.
• Cyber Occupations: Broad benchmarks appropriate for skill transferability, but narrowing risks reducing relevance.

Recommendations:
Combine quantitative benchmarks with qualitative analysis of functional context, tracking DAF demographics vs. civilian equivalents. Early signs suggest some military occupations are less accessible to minorities despite similar civilian counterparts due to pipeline effects.

Limitations:

• Methodology perfection unattainable due to distinct military vs. civilian contexts.
• Requires competent personnel to handle nuances between occupation definitions.
• Initial benchmarks unlimited but subsequent analyses should adjust for context-specific differences.

Closing Thought:
DAF continues to refine benchmarks adding tools for barrier analyses while moving aggressively toward setting measurable targets for diverse representation across functional areas.