Which of the following is NOT a source of bias?

Prepare for the Arizona State University BME100 Biomedical Engineering Midterm Exam. Enhance your skills with quizzes, flashcards, and detailed explanations. Ace your exam!

Interpreting results accurately is essential for the integrity of any research and serves as a mechanism to mitigate bias rather than introduce it. This approach ensures that findings are represented truthfully and reflects the true relationships present in the data. When results are interpreted with accuracy, it helps to maintain objectivity and clarity, fostering reliable conclusions drawn from the research.

In contrast, options like reading the field, analyzing data, and specifying the study sample can introduce bias due to various factors. For example, reading the field may involve selecting sources that confirm pre-existing beliefs, which can skew perception. Analyzing data could be conducted selectively, favoring different interpretations that influence outcomes. Specifying the study sample might lead to bias if it's not representative of the broader population, thereby affecting the validity of the results. Overall, accurate interpretation is a safeguard against bias, making it the outlier in this list.

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