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I__. - International Military Testing Association

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USING EVENT HISTORY TECHNIQUES TO ANALYZE TASK PERISHABILITY:<br />

A SIMULATION<br />

Spnley~ D. Stephenson<br />

Southwest Texas State University<br />

Julia A. Stephenson<br />

University of North Texas<br />

Until now, task perishability, the point in time at which a<br />

~ task drops out of an airmanls inventory of tasks performed, has<br />

not been researched. This lack of research could be for two reasons.<br />

First, task performed/not performed is usually of more<br />

interest than is when a task leaves a job inventory. Second,<br />

perhaps measurement techniques for determining task perishability<br />

are either unavailable or unknown. In any event, little is known<br />

about task perishability. . _ .<br />

For a variety of reasons, knowledge about task perishability<br />

would be useful, primarily in training. For instance, the decision<br />

about when and where to train a task (formal school or OJT)<br />

could depend on how long the task is going to be used. Perhaps<br />

the most obvious use of task perishability would be in crosstraining.<br />

If a task can be determined to have a relative short<br />

residual life, perhaps training on that task is not necessary,<br />

even though the task is currently in the job inventory of comparable<br />

time-in-grade airman. Also, task perishability is<br />

obviously related to skill decay. A skill can be retained long<br />

after a task stops being performed. However, if a task perishes<br />

from an airman's inventory of tasks performed, the corresponding<br />

skill will eventually leave that airman's inventory of skills.<br />

Before skill decay can be measured, information about task perishability<br />

should be known.<br />

This paper will study the feasibility of measuring task perishability<br />

using a technique called Event History Analysis.<br />

There are two major features of event history as it applies to<br />

task perishability. First, it incorporates time in the analysis;<br />

;,zoAdhow long did a fa.sk stay in an airman's job inventory?<br />

It has the ability to handle censored data. Censored<br />

data i; data on which you have only partial information. For<br />

example, not all airman complete their first term enlistment. Of<br />

those who leave early, some will have stopped doing a task, but<br />

some will still be performing the task. Consequently, information<br />

about when the task would have left the censored airmen's<br />

job inventories if they had stayed in the Air Force is unknown:<br />

however, that the task lllivedll until the point of censoring is<br />

known. Rather than discarding these censored data, event history<br />

incorporates the available information and, although incomplete,<br />

produces more precise estimates of task survivability.<br />

TO study task perishability with event history techniques,<br />

this paper used a simulated data base of a type which could be<br />

derived from the data produced by the USAF Occupational Survey<br />

Program and other sources.<br />

USAF Occupational Survey Program<br />

The USAF job analysis program is frequently referred to by<br />

the term, CODAP (or TI/CODAP) (Christal & Weissmuller, 1988).<br />

CODAP usually involves taking a snapshot of the entire work force<br />

at one point in time; i.e., rather than being longitudinal, the<br />

data collected is vertical. Consequently, the data do not provide<br />

information about what an individual airman does over a 20<br />

138

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