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One can avoid misinterpreting information or jumping to false conclusions by cross checking important pieces of information through other methods of data collection. For example, if a questionnaire indicates major problems around supervision in one department, it may be useful to interview some supervisors and nonsupervisory personnel in the specific department for more detailed information. It also may be valuable to spend some time in the department observing the interactions between supervisors and subordinates. The most effective data collection strategy, therefore, is one that uses multiple measures and multiple methods of data collection. It is by combining data from interviews, questionnaires, observations, and archival sources that the consultant is able to triangulate and thus discard the data that may be distorted or biased. (en) |
