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Research Methodology - Dr. Krishan K. Pandey

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Measurement and Scaling Techniques 81<br />

Rank order 2 3 1 4<br />

Mp 0.5375 0.4625 0.5450 0.4550<br />

Zj 0.09 (–).09 0.11 (–).11<br />

Rj 0.20 0.02 0.22 0.00<br />

Comparing the total number of preferences for each of the four proposals, we find that C is the<br />

most popular, followed by A, B and D respectively in popularity. The rank order shown in the above<br />

table explains all this.<br />

By following the composite standard method, we can develop an interval scale from the pairedcomparison<br />

ordinal data given in the above table for which purpose we have to adopt the following<br />

steps in order:<br />

(i) Using the data in the above table, we work out the column mean with the help of the<br />

formula given below:<br />

bg b g<br />

b g<br />

C N<br />

M p<br />

nN<br />

=<br />

+ . 5 165 + . 5 100<br />

=<br />

4 100<br />

= . 5375<br />

where<br />

M p = the mean proportion of the columns<br />

C = the total number of choices for a given suggestion<br />

n = number of stimuli (proposals in the given problem)<br />

N = number of items in the sample.<br />

The column means have been shown in the M p row in the above table.<br />

(ii) The Z values for the M p are secured from the table giving the area under the normal curve.<br />

When the M p value is less than .5, the Z value is negative and for all M p values higher than<br />

.5, the Z values are positive. * These Z values are shown in Z j row in the above table.<br />

(iii) As the Z j values represent an interval scale, zero is an arbitrary value. Hence we can<br />

eliminate negative scale values by giving the value of zero to the lowest scale value (this<br />

being (–).11 in our example which we shall take equal to zero) and then adding the absolute<br />

value of this lowest scale value to all other scale items. This scale has been shown in R j<br />

row in the above table.<br />

Graphically we can show this interval scale that we have derived from the paired-comparison<br />

data using the composite standard method as follows:<br />

D B A C<br />

0.0 0.1 0.2 0.3 0.4<br />

Fig. 5.2<br />

* To use Normal curve area table for this sort of transformation, we must subtract 0.5 from all Mp values which exceed<br />

.5 to secure the values with which to enter the normal curve area table for which Z values can be obtained. For all M p values<br />

of less than . 5 we must subtract all such values from 0.5 to secure the values with which to enter the normal curve area table<br />

for which Z values can be obtained but the Z values in this situation will be with negative sign.

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