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    Keyword:
    
    • *ATTRITION (2)
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    • NAVAL POSTGRADUATE SCHOOL MONTEREY CA (2)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Characteristics and Trends of Attrition from the United States Naval Academy Bishop, James W. In: DTIC (2006) BASE Show details 2 An Analysis of the Coast Guard Enlisted Attrition Rubiano, Laureano E. In: DTIC AND NTIS (1993) Abstract: In this thesis, survival analysis is used to study US Coast Guard enlisted attrition behavior in terms of individual personnel characteristics such as sex, marital status, race, paygrade and rating. Results obtained based on 8 years of historical data from FY83 to FY90 are as follows: males and married individuals have higher survival probabilities than their counter parts, respectively; paygrades E-1 to E-5 have higher attrition than paygrades E-6 to E-9; American Indians have the highest attrition and Asian members have the largest survival probabilities; rating 170 (Gunner's Mate) has die highest attrition over all ratings followed by rating 180 (Fire Control Technician); the rating with the highest survival probability is 570 (Aviation Machinist's Mate); a decreasing trend in attrition was found during the last 4 years of the observation period; it was also observed that there was significantly high attrition at the end of the four years service contract and when the enlisted member reaches twenty years of service. Additionally, this thesis provides the a regression model order to predict monthly enlisted attrition figures. Significant predictors selected are the prior month's attrition, the number of enlistments four years prior and the current unemployment rate. The selected regression model explains almost 97% of the total variation of monthly attrition. It turns out to perform better than the current method used by the CG. Keyword: *ATTRITION; *COAST GUARD PERSONNEL; *SURVIVAL(PERSONNEL); BEHAVIOR; MALES; MATHEMATICAL MODELS; MATHEMATICAL PREDICTION; Military Forces and Organizations; OBSERVATION; Personnel Management and Labor Relations; PROBABILITY; Psychology; RATES; RATINGS; RECRUITING; REDUCTION; REGRESSION ANALYSIS; SEX; TECHNICIANS; THESES; UNEMPLOYMENT; VARIATIONS URL: http://www.dtic.mil/docs/citations/ADA275139 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA275139 BASE Hide details

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