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Participatory Impact Assessment - Capacity4Dev

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STAGE FOUR:<br />

METHODS<br />

This section provides both real life and hypothetical examples of how different methods have been<br />

or might be used to measure project impact on livelihoods. The exact tools used in these examples<br />

may or may not be transferable to other projects or assessments. However, they should provide an<br />

overview of how participatory tools can be adapted and applied in different contexts to measure<br />

the impact of different types of projects. For additional resource materials on participatory tools<br />

and methods see Annex 1.<br />

Once you have identified your impact indicators, you will need to decide which methods should<br />

be used to measure changes in these indicators. Some useful methods which can be used to<br />

measure impact or change numerically include, simple ranking and scoring, “before” and<br />

“after” scoring, pair-wise ranking and matrix scoring, impact calendars, radar diagrams, and<br />

proportional piling. All these methods involve the use of semi-structured interviews as part of the<br />

method. Each method has its strengths and weaknesses, and some methods are more appropriate<br />

for certain cultures and contexts. It is important to field test your methods with community<br />

members before the assessment.<br />

© Abebe 2007 © Burns 2007<br />

Ranking and scoring methods<br />

Ranking and scoring methods require informants to assess the relative importance of different<br />

items. Ranking usually involves placing items in order of importance (1 st , 2 nd , 3 rd etc.) whereas<br />

scoring methods assign a value or a score to a specific item. This is usually done by using<br />

counters such as seeds or stones, nuts or beans to attribute a specific score to each item or<br />

indicator. Proportional piling and scoring techniques can be used to assess the relationship<br />

between two or more given variables; these may include indicators of project impact. For<br />

proportional piling informants are asked to distribute one hundred counters amongst the different<br />

variables or indicators, with the largest number of counters being assigned to the most important<br />

indicator, and the smallest number of counters being assigned to the least important indicator.<br />

26

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