RIDE vs. CLASP Comparison and Evaluation: Models and Parameters
Abstract
CLASP, the Navy's enlisted personnel classification algorithm, has been used operationally since the early 1980s. The Navy is considering replacing it with the RIDE algorithm, as part of its transition from PRIDE to NRAMS. The purpose of this research was to evaluate and compare the algorithms, so classification policymakekrs could better judge the feasibility and wisdom of the proposed change. The RIDE algorithm was analyzed to identify and evaluate the assumptions upon which it is based. Particular attention was given to the First Pass Pipeline Success (FPPS) school performance criterion and the Point of Diminishing Returns (PDR) concept. RIDE school performance prediction models were compared with logistic regression prediction models to evaluate the RIDE mode development methodology. In addition, corresponding components of CLASP and RIDE were compared to better understand their similarities and differences. Sparsely documented aspects of the CLASP model were described in detail so policymakers could better understand the unique characteristics of CLASP and the methodology used to develop the CLASP utility functions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2007
- Accession Number
- ADA469213
Entities
People
- John S. Folchi