An Analysis of Advancement to Hospital Corpsman Chief Petty Officer.

Abstract

This thesis investigates whether certain demographic, background, or service-related variables affect the probabilities that a hospitalman recruit (lIR) from the fiscal year 1979 (FY-79) cohort of Navy recruits would stay in the Navy through fiscal year 1992 (FY-92); be advanced to Hospital Corpsman Chief Petty Officer (HMC); and be advanced quickly to HMC in less than 11 years. One study focus was to determine whether women and minorities were equally represented, as compared to white males, in the advancement process to HMC. A second focus was to determine whether HRs who attained certain Navy Enlisted Classification (NECs) codes had probabilities of being advanced to HMC that were different than the probabilities for other general-duty hospital corpsmen (HMs). The sample was taken from the the FY-79 cohort data set of all Navy recruits and was restricted to non-prior service, HRs. Using this sample, three multivariate logit models were developed with these binary, dependent variables: MADEHMC denotes whether a HR was advanced to MMC; STAYEDIN denotes whether a MR stayed in the Navy through the end of FY-92; and FASTPROM indicates whether a MR was advanced to HMC within 11 years. The effects of various background, demographic, and service-related variables on the dependent variables were measured. The results indicate that women, blacks, Hispanics, and HMs with certain NECs were more likely than white, male, general-duty HMs to stay in the Navy through FY-92; that HMs with certain NECs were more likely than other HMs to be advanced to MMC; and that there were no significant variables for predicting whether a MR would be advanced to MMC within 11 years.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA298133

Entities

People

  • David J. Brower

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Attrition
  • Basic Training
  • Classification
  • Data Sets
  • Descriptive Analytics
  • Employment
  • Enlisted Personnel
  • Ethnic Groups
  • Health Services
  • Hispanics
  • Management Personnel
  • Medical Personnel
  • Military Science
  • Minority Groups
  • Naval Personnel
  • Personnel Management
  • Recruiting

Readers

  • Naval Personnel Management
  • Occupational Health and Safety.
  • Reinforced Composite Materials