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U.S. Air Force Enlisted Classification and Reclassification: Potential Improvements Using Machine Learning and Optimization Models [Pehme köide]

  • Formaat: Paperback / softback, 142 pages, kõrgus x laius x paksus: 279x216x8 mm, kaal: 349 g, Illustrations
  • Ilmumisaeg: 30-May-2022
  • Kirjastus: RAND Corporation
  • ISBN-10: 1977407021
  • ISBN-13: 9781977407023
  • Formaat: Paperback / softback, 142 pages, kõrgus x laius x paksus: 279x216x8 mm, kaal: 349 g, Illustrations
  • Ilmumisaeg: 30-May-2022
  • Kirjastus: RAND Corporation
  • ISBN-10: 1977407021
  • ISBN-13: 9781977407023

The authors review options for improving processes for classifying and reclassifying enlisted active-duty, non prior service airmen for initial skills training in the United States Air Force.

Preface iii
Figures
vi
Tables
vii
Summary ix
Acknowledgments xii
Abbreviations xiii
1 Introduction and Background
1(5)
Purpose and Approach
4(1)
Organization of This Report
5(1)
2 Air Force Classification and Reclassification Processes
6(10)
Initial Classification Process
6(4)
Reclassification During Initial Skills Training
10(3)
Observations About Classification and Reclassification Processes
13(3)
3 Data Available for Predicting Air Force Training and Career Outcomes
16(9)
Air Force Personnel Data Sources
17(2)
Training and Career Outcomes Measured by the U.S. Air Force
19(1)
Available Predictor Measures of Airmen Training and Career Outcomes
20(3)
Data Quality and Access Limitations
23(2)
4 Models to Predict Success
25(14)
An Overview of Modern Prediction Methods
25(5)
Application of Prediction Methods to First-Term Enlistment Outcomes
30(8)
Summary
38(1)
5 Optimization Model for Reclassifying Training Eliminations
39(10)
Background
39(1)
Methodology
40(4)
Results
44(4)
Summary
48(1)
6 Airmen Experiences in Initial Skills Training for Select Specialties
49(19)
Focus Group Approach
49(2)
Knowledge and Expectations About Careers Before Initial Skills Training
51(2)
Findings by Occupational Category
53(14)
Summary
67(1)
7 Conclusions and Recommendations
68(13)
Key Findings
68(2)
Recommendations
70(10)
Concluding Thoughts
80(1)
Appendix A Defining and Measuring Success in Personnel Selection 81(3)
Appendix B Descriptive Statistics and Analytic Modeling Results 84(14)
Appendix C Optimization Model Methodology 98(2)
Appendix D Focus Group Methodology 100(20)
References 120