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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.

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