Accession Number : ADA298133
Title : An Analysis of Advancement to Hospital Corpsman Chief Petty Officer.
Descriptive Note : Master's thesis,
Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Personal Author(s) : Brower, David J.
PDF Url : ADA298133
Report Date : MAR 1995
Pagination or Media Count : 64
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.
Descriptors : *NAVAL PERSONNEL, *OFFICER PERSONNEL, *MEDICAL PERSONNEL, *RECRUITS, DATA BASES, ENLISTED PERSONNEL, MINORITIES, THESES, VARIABLES, CLASSIFICATION, HOSPITALS, WOMEN, HISPANICS.
Subject Categories : Personnel Management and Labor Relations
Medicine and Medical Research
Distribution Statement : APPROVED FOR PUBLIC RELEASE