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Guidelines for Impact Monitoring & Assessment in Microfinance ...

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MONITORING & ASSESSMENT IN MICROFINANCE PROGRAMMES<br />

SELECTION OF INDICATORS<br />

Indicators are not universal. Consequently, we cannot determ<strong>in</strong>e which <strong>in</strong>dicators<br />

should be selected or how many <strong>in</strong>dicators should be used to measure a given<br />

result. The response to these questions depends on:<br />

82<br />

• The complexity of the result be<strong>in</strong>g measured;<br />

• The level of resources available <strong>for</strong> monitor<strong>in</strong>g impact; and,<br />

• The amount of <strong>in</strong><strong>for</strong>mation needed to make reasonably-<strong>in</strong><strong>for</strong>med decisions.<br />

We can, however, state that the quality of measurement is a major issue. Assur<strong>in</strong>g<br />

that the data collection process does not <strong>in</strong>clude <strong>in</strong>accuracies will help assure the<br />

overall quality of subsequent analyses.<br />

In microf<strong>in</strong>ance, the follow<strong>in</strong>g types of <strong>in</strong>dicators are generally used:<br />

• Economic <strong>in</strong>dicators that refer to <strong>in</strong>come, expenditure, consumption,<br />

<strong>in</strong>vestment and assets;<br />

• Social <strong>in</strong>dicators that refer to education, health, nutrition and risk reduction;<br />

and,<br />

• Socio-political <strong>in</strong>dicators that refer to empowerment and client relations to<br />

the wider environment.<br />

Levels of Measurement<br />

Levels of measurement describe the relationship between the values assigned to<br />

the attributes of a variable. Know<strong>in</strong>g the level of measurement helps determ<strong>in</strong>e how<br />

to <strong>in</strong>terpret the data from a variable. When a measure is nom<strong>in</strong>al, the numerical values<br />

are short codes <strong>for</strong> longer names. Know<strong>in</strong>g the level of measurement also<br />

determ<strong>in</strong>es what type of statistical analysis is appropriate on the values assigned. If<br />

a measure is nom<strong>in</strong>al, data values cannot be averaged and a statistical significance<br />

test cannot be per<strong>for</strong>med on the data.<br />

There are typically four levels of measurement.<br />

• Nom<strong>in</strong>al measurement: a numeric value names an attribute uniquely. No<br />

order<strong>in</strong>g of cases is implied.

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