Development and Evaluation of a High School Rating Conversion Table for NROTC Applicants

Abstract

Naval Reserve Office Training Corps (NROTC) scholarship applicants are evaluated, in part, on their high school rating (HSR). HSR is a selection variable that reflects individuals' percentile rank in their high school class. For those applicants who are missing a percentile rank, their HSR must be estimated using their high school grade point average (HSGPA). The current HSGPA-to-HSR conversion table has been used to estimate individuals' HSR for several years. Recently, Chief of Naval Education and Training (CNET) officials have questioned whether the conversion table overestimates HSR when a student's high school rank in unknown. The purpose of the present study was to evaluate the accuracy of the current HSGPA-to-HSR conversion table and to develop a revised HSGPA-to-HSR conversion table. An equipercentile method of equating was used to develop the revised HSGPA-to-HSR conversion table. Cross-validation of this table was conducted on a holdout sample, and comparisons between the table currently in use and the revised table were performed. The results showed that the current HSGPA-to-HSR conversion table does overestimate HSR. A revised HSGPA-to-HSR conversion table should replace the table currently in use. When sufficient criterion data become available, the predictive validity of the revised HSR table should be evaluated.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA230569

Entities

People

  • Jack E. Edwards
  • Norman M. Abrahams
  • Regina L. Burch

Tags

DTIC Thesaurus Topics

  • Accuracy
  • California
  • Composite Materials
  • Computer Programs
  • Education
  • Personnel Management
  • Personnel Selection
  • Reserve Officer Training Corps
  • Schools
  • Standards
  • Students
  • Test And Evaluation
  • Training
  • United States
  • United States Naval Academy
  • Universities
  • Validation

Readers

  • Naval Personnel Management
  • Personnel Management and Statistics in the Military and Department of Defense
  • Regression Analysis.