I__. - International Military Testing Association

Valuable time of experts is saved by having the model compute intermediate
data elements.
Paramters. The parameters identified in table 3 were selected to make
the model flexible, i.e., capable of simulating conditions where the
relative importance of the variables listed can be changed at will by the
analyst. By using a computer terminal, the analyst may input alternative A,
8, C, D, E, or F to establish the relative importance of the variables in
determining expected trials-to-mastery. Relative importance of these
variables is expected to vary from one aircraft community to another.
,
Table 3
Parameters for Weighting Trials-to-Mastery
Parameter Relative Importance
Addftive Method
A Instructors Students Tasks
8 -Students Instructors Tasks
Tasks Instructors Students
s Instructors Tasks Students
Students Tasks Instructors
s Tasks Students Instructors
The mean trials-to-mastery for the experimental and control groups,
obtained by the interactive method, are used as a basis for the values used
in the the additive method. Here the same expert is asked to estimate
trials-to-mastery for each of the conditions one at a time. The questions
are phrased as deviations around the mean trials-to-mastery (table 4).
Training experts estimate six conditions in each group, a total of 12
conditions. The remaining 42 values (representing the difference between 12
and 54) are estimated by the computer model according to the rules of
additive conjoint measurement (Lute & Tukey, 1964).
Reljabilitv Check
Since each training expert is asked for inputs to the model by two
different methods, a check on methodological variance is possible by
correlating the values obtained by the interactive and additive methods (N =
54). This correlation fs computed across methods for experimental and
control groups.
SUMMtYOFMOOEL FLOU
Input, output, and
figure 1 and figure 2.
interactive aspects of the mode1 are summarized in
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