PRA-Manual Embracing Participitation tools-only.pdf - PACA
PRA-Manual Embracing Participitation tools-only.pdf - PACA
PRA-Manual Embracing Participitation tools-only.pdf - PACA
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3.44 EMBRACING PARTICIPATION IN DEVELOPMENT: Wisdom from the Field<br />
Following is an example of using the matrix scoring method:<br />
MATRIX RANKING OF PREFERENCE FOR SEX PARTNERS FOR GIRLS<br />
Prepared by a group of 14-16 year old girls in South Chilenje, Lusaka<br />
(From the field notes of Meera Kaul Shah and Mary Simasiku)<br />
Overall<br />
preference<br />
Type of male Criteria for deciding preference (ranking,<br />
sex partner (fixed score out of 10; 10=best) 1=best)<br />
Not<br />
moving<br />
Not<br />
married<br />
with many<br />
girls<br />
Can take<br />
responsibility<br />
Has<br />
money<br />
Dresses<br />
smartly<br />
Is<br />
educated<br />
School boys 10 5 2 5 8 5 2<br />
Yoos 10 0 0 5 7 5 6<br />
Home boys 10 8 8 2 2 5 3<br />
Taxi drivers 8 0 5 10 5 5 7<br />
Teachers 5 0 5 3 5 10 5<br />
Doctors 5 0 10 10 10 10 1<br />
Cousins 5 5 4 5 5 5 8<br />
Stepfathers 0 2 5 10 5 5 9<br />
Church mates 8 5 8 8 8 5 4<br />
Monku* 10 10 0 10 0 8<br />
*Monkus are homosexuals (males). The girls first included them in their list, but<br />
when they started evaluating each of the categories as sex partners, they decided<br />
that they could not include the Monkus. Therefore, they did not give them any<br />
preference ranking at the end.<br />
Part 3<br />
The group of girls carrying out the above analysis decided to give scores<br />
out of ten for evaluating each of the types of sex partners against the<br />
selected criteria. Doctors, who were ranked the most preferred sex partners,<br />
can take responsibility, have money, dress smartly and are educated,<br />
but are usually married and move with many girls.<br />
Note that the last column in the above example gives ranks (while the rest of<br />
the matrix has used the fixed scoring method). This column was added to the<br />
matrix at the end, after the girls had completed their analysis. The group was<br />
simply asked to rank the different types of sex partners in their list according to<br />
their overall preference. One common mistake made while using the matrix<br />
scoring method is adding up the scores to arrive at the overall preference. The<br />
scores should never be totaled. Totaling the scores in the cells would indicate<br />
that all the criteria have equal weight. This is very rare. Check this with the<br />
above example. If the group had simply added up the scores in each row, they<br />
would have come up with a rather different overall preference from the one<br />
given above. Although doctors would have retained the first rank, it would<br />
have been church mates, rather than school boys, in the second place, and<br />
monkus (who were not given any rank at all), rather than home boys, in the<br />
third place, and so on.