Technical Report - International Military Testing Association
Technical Report - International Military Testing Association
Technical Report - International Military Testing Association
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A varietioa of this method would consist of averaging the r-velucr<br />
� ppropriately end compering this average with the raw score standard<br />
deviation.<br />
These methods have two important chorattarirtice in couxon. Fir&,<br />
they lack prtciaioa. The Outoide Critaria, Intra-Itcln Conoiatency, Itan<br />
Hirtory, and Trend Method of checking iton anaiyeie irrvolve limits or<br />
ranges vithin which machine produced it- enalynie data CM vary for rea-<br />
OORO other than error. Although probability estimate6 may be determined<br />
for individual itgls variations within a “range” oc the basis of probrbilfty<br />
tables, the problem would remain as to tha range of probability estimatea<br />
which are apt to lndicata error in the iten enslyair data.<br />
The second camnon charocterietic of imporinnct concerns the expense<br />
involved in these methods. Checking the data, item by item, can be time<br />
consuming end require@ the time and effort of professional personnel.<br />
Extlnple of Interprogram Consistency<br />
A method of checking item analysis which may be called en interprogram<br />
consistency method has the advantages of both speed and prtclafon<br />
for computer application.<br />
This method a8aumta that there are tvo computer programa producing<br />
results on a given set of data. One program mill produce a raw score<br />
mean md standard deviation, and the other the item onalyeia data.<br />
The comparison of the result6 of the two programs 16 baro,d on the<br />
\ relationship of the sum of the item p-vaiues and the raw score mean, and<br />
the � ura of the ites reliabil!..y indicts end the raw &core etandord deviation.<br />
Two further arrumptionr concerning theaa rtatistical characterfrtica<br />
are that r;v ecorea ere computed on the barir of the number of correct<br />
� n8vera and ths;t the item discrimination index io a point-biatriai corrtlatloc<br />
(Gulliksen, 1958).<br />
me computetion of the sum of p and the sum of the reliability<br />
indlcer involves a third cmputer progrem which may be called the itemtent<br />
covariance progrem. The computation0 involvs summing the item pvaluer<br />
(Cp) to product a mean , end the une of the formula<br />
K<br />
L/T-G=<br />
1<br />
to product a rtandard devfation both derived from the itan e~IelyOi8<br />
(Gul’Llkrtn, 1958). The formula dm defines the index (&llikren,<br />
i958).<br />
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