However, the use of metrics also introduces several potential sources of bias. For example, the choice of metrics may be influenced by the researcher's assumptions and preconceptions, leading to a biased interpretation of the data. Additionally, the use of numerical scales may be inappropriate or insufficient for capturing the complexity of certain phenomena, resulting in a loss of important information.
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