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Technical b r Report - International Military Testing Association

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scanning machino and associated data set into the computer. The<br />

computer is used to score the tests and the results are ret~rncd to<br />

the appropriate team vi,a the tcletypc network (Figure 4). Turn-<br />

around time has been reduced to one or two days, depending on computer.<br />

availability.<br />

One of the largest prob1crr.s WC encountered in program development was<br />

how to best score snd analyze the test results. One goal was to deter-<br />

mine individual strengths and weaknesses while another goal was to<br />

identify and correct deficiencies within the training program itself.<br />

Ke developed a "quick-look' SAT report to meet the first requirement.<br />

This report is based on tbc.exam.inecs' results compared to the existing<br />

fleet, or total, results contained in the answer file. Individual<br />

training recommendations are also contained in the SAT <strong>Report</strong> and are<br />

based *on Z-scores greater thdn 0.5 bckw the fleet mean. This criteria<br />

was picked art" .:ly but has worked well in practice.<br />

A more detailed analysis is conducted to meet the second evaluation goal.<br />

This analysis includes individual and group evaluaticn (i.e., submarine<br />

crew, tender crcx, instructors, etc.). PPP table evaluation, teat<br />

instruxent evalcation. These evaluations are conducted after each test<br />

version is retired and replaced with a new version. The FEM program<br />

provides a uniqac envirxzent for many of these analyses. CoLlmun i. t y<br />

idiosyncrasies include (1) relatively stable crew composition, (2)<br />

detailed hardware pcrfornance data, (3) close liaison among all nctivi-<br />

ties, and (4) extensive personnel history data. These attributes<br />

enable crew Fcrfcrmance and empirical test validity evaluations beyond<br />

those which are normaily Fracticable.<br />

I<br />

199<br />

:. _<br />

-..

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