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2003 IMTA Proceedings - International Military Testing Association

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474<br />

INTRODUCTION<br />

JOB AND OCCUPATIONAL INTEREST IN THE NAVY<br />

Stephen E. Watson, Ph.D.<br />

Director, Navy Selection and Classification<br />

Bureau of Naval Personnel<br />

Washington, DC 20370-5000<br />

Stephen.E.Watson@Navy.Mil<br />

The United States Navy is currently taking an innovative approach to improving the<br />

match between enlisted personnel (Sailors) and their jobs (Ratings). The Rating Identification<br />

Engine (RIDE) is the Navy’s decision support system designed to help enlisted classifiers<br />

provide initial guidance counseling to Applicant-Sailors (i.e., potential enlistees), and re-assign<br />

Sailors to new Ratings during their career. During accessions, RIDE provides a rank ordered list<br />

of recommended Navy Ratings to the Classifier and Applicant-Sailor and presents a wide variety<br />

of educational and career information about these jobs (i.e., enlistment periods, bonuses,<br />

promotion rates, civilian education and job equivalents). Current inputs to RIDE include an<br />

ability component, which utilizes scores on the Armed Services Vocational Aptitude Battery, and<br />

a Navy Need input providing available training opportunities and emphasizing critical Navy<br />

Ratings.As the Navy strives to improve the Sailor-Rating match, a collection of independent<br />

variable measurements are being investigated as additional inputs to RIDE, including measures<br />

of personality (Farmer, Bearden, Borman & Hedge, 2002), general time sharing ability (Watson,<br />

Heggestad, & Alderton, 1999), and vocational interest. The most mature of these additional<br />

measures is the job interest measure known as Job and Occupational Interest in the Navy (JOIN).<br />

In the development of JOIN, reviews suggested traditional approaches and existing<br />

inventories were insufficient for the Navy’s intent (Lightfoot, Alley, Schultz, Heggestad and<br />

Watson, 2000). In general, these approaches failed to provide sufficient differentiation between<br />

Navy jobs. Navy Ratings (and military specialties in general) tend to fall into technical and<br />

scientific interest domains, rather than a more evenly distributed representation across the<br />

Holland domains (1999). Likewise, the interests of military personnel should follow this limited<br />

distribution pattern as compared to college or college-bound populations (see Lightfoot et al.,<br />

2000, for a complete discussion of these issues).<br />

For specificity, rather than attempting to tap into established interest factors or<br />

personality traits which may indicate potential job satisfaction in a broad collection of jobs<br />

(Holland 1999) the author decided to focus on a componential classification (or taxonomy)<br />

indexing approach. In the approach presented here, preferred jobs are retrieved through<br />

collections, or profiles, of indices, rather than matching a person’s “type” to a broad job area, and<br />

then retrieving jobs in that area. Campbell, Boese, Neeb and Pass (1983) have made compelling<br />

arguments for similar taxonomic approaches.<br />

The creation of an interest taxonomy requires the creation and categorization of some<br />

elements of job interest. Primoff (1975) has defined a “job element” as a worker characteristic<br />

that influences success in a job, and includes interest as a job element. Unfortunately, there does<br />

not exist a consensus definition for the phrase “vocational interest” (Hindelang, Michael &<br />

45 th Annual Conference of the <strong>International</strong> <strong>Military</strong> <strong>Testing</strong> <strong>Association</strong><br />

Pensacola, Florida, 3-6 November <strong>2003</strong>

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