ScholarLens Back to search
2018•RAND Corporation eBooksRequires access

Career Paths in the Army Civilian Workforce: Identifying Common Patterns Based on Statistical Clustering

Shanthi Nataraj, Lawrence Morley Hanser

Open publisher page 0 citations

Abstract

Army civilians exhibit a diverse array of career trajectories, and most entrants into the Army civilian workforce spend a relatively short amount of time there. What are the most common career patterns observed among individuals who entered between fiscal years 1981 and 2000 on the General Schedule pay plan?

About this research paper

What this paper is about

Army civilians exhibit a diverse array of career trajectories, and most entrants into the Army civilian workforce spend a relatively short amount of time there. What are the most common career patterns observed among individuals who entered between fiscal years 1981 and 2000 on the General Schedule pay plan?

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Army civilians exhibit a diverse array of career trajectories, and most entrants into the Army civilian workforce spend a relatively short amount of time there. What are the most common career patterns observed among individuals who entered between fiscal years 1981 and 2000 on the General Schedule pay plan?

Key concepts: Workforce, Schedule, Cluster analysis, Fiscal year, Plan (archaeology), Demographic economics, Operations management, Business

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Career Paths in the Army Civilian Workforce: Identifying Common Patterns Based on Statistical Clustering — Research Paper | ScholarLens