Methodologies of officer billet classification.

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Author
Lemke, Juergen
Date
1976-09Advisor
Read, R.R.
Second Reader
Boynton, R.E.
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Show full item recordAbstract
Four potentially valuable methods to classify officer
billets into subgroups on the basis of multivariate observations
about the billets are presented. The methods aiming to
reduce the dimensionality and to identify homogeneous subgroups
are: Principal Component Analysis, Multidimensional
Scaling, Hierarchical Cluster nalysis (Hiclust) and Cluster
Analysis Optimizing an Objective Function (K-Means) . They
are applied to a data set obtained from an outside source and
comprising 96 Navy officer billets. Thirteen quantitative
variables measuring the relative amount of time spent for
managerial responsibilities and resources have been entered
into the analysis. On the basis of the entered variables,
the presence of eight billet clusters have been determined.
The evolved groups are described by their centroids and
within-group standard deviations.