An Analysis of the Effect of Quantitative and Qualitative Admissions Factors in Determining Student Performance at the U.S. Naval Academy

Abstract

This thesis analyzes the effect of quantitative and qualitative factors used in the admissions process at the U.S. Naval Academy in determining the performance of candidates admitted. In determining student performance, graduation, Order of Merit (OOM), cumulative academic Quality Point Ratio (QPR), cumulative military QPR, and striper selection are used as performance outcome measures. The data is from Naval Academy graduation year groups 1995 through 2001. The analysis separates the Naval Academy's Whole Person Multiple into quantitative and qualitative inputs. The Candidate Multiple (CM) is the quantitative input to the admissions process derived from a statistics-based scoring model anchored in proven high school performance measures such as the SAT and high school GPA. The Recommendations of the Admissions Board (RAB) are the qualitative input, which awards points for subjective traits not captured in the CM or that are from various other subjective measures, such as student interviews and essays. This research highlights the properties of the two admissions factors and their estimated impact on student performance. The results show that student performance increased as CM and RAB increased, revealing the importance of a combined quantitative and qualitative admissions process, and emphasizing qualitative input as the value added factor that provides an increased predictability of student success. (26 tables, 22 figures, 26 refs.)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2004
Accession Number
ADA427695

Entities

People

  • Barton L. Phillips

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • African Americans
  • Data Sets
  • Descriptive Analytics
  • Education
  • Ethnic Groups
  • Literature Surveys
  • Minority Groups
  • Regression Analysis
  • Schools
  • Sociology
  • Statistical Analysis
  • Statistics
  • Students
  • Supreme Court
  • Systems Engineering
  • United States
  • United States Naval Academy

Fields of Study

  • Education

Readers

  • Computational Modeling and Simulation
  • Psychometric Testing or Psychological Assessment.