Bias ccurs when there is ambiguity. The target population or
representative sample should be sharply defined so that there is no room for ambiguity.
Definition bias leads to unreliable data if different implementing partners collect data on the
same indicator, for example “number of jobs created,” but each partner is using a different
definition (in this example, of “jobs created”).