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Navy Interest Inventory: Approach Development
This report presents the conclusions of a project undertaken for the Navy Personnel Research, Studies, and Technology Division (NPRST), Bureau of Naval Personnel, which is revising the Navy's classification algorithm for enlisted personnel. The developmental goal of the proposed new classificat...
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Main Authors: | , , , , , , , , |
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Format: | Report |
Language: | English |
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Online Access: | Request full text |
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Summary: | This report presents the conclusions of a project undertaken for the Navy Personnel Research, Studies, and Technology Division (NPRST), Bureau of Naval Personnel, which is revising the Navy's classification algorithm for enlisted personnel. The developmental goal of the proposed new classification decision support software (DSS), the Rating Identification Engine (RIDE), is to improve the recruit-rating assignment process so that it provides greater utility in the operational classification system. The project plan includes both concurrent and predictive validation studies in which the main criteria are satisfaction with rating and with the Navy, and attrition within the first enlistment term. It also includes an operational evaluation that compares classification through RIDE with and without an interest function based on the inventory. The predictive validation and operational evaluation studies must be longitudinal to capture first term retention. We estimate the timeline for the entire effort to be five to six years.
Prepared in collaboration with Human Resources Research Organization, Alexandria, VA and University of Illinois at Urbana-Champaign. The original document contains color images. |
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