Which is an example of potential bias in research?

Asking leading questions to support a hypothesis is a clear example of potential bias in research. Leading questions are formulated in a way that they prompt or suggest a particular response, thereby influencing the participant's answer. This can distort the data collected because the responses may not genuinely reflect the participant's views or experiences, but rather align with what the question implies or suggests. This can significantly impact the validity of the research findings, as it skews the data in favor of a specific outcome or conclusion.

In contrast, using a balanced sampling method, asking neutral questions, and choosing samples that reflect cultural diversity are all practices that aim to minimize bias in research. A balanced sampling method ensures that all relevant sub-groups within a population are adequately represented, neutral questions ensure that respondents feel free to express their true opinions without influence, and cultural diversity in samples provides a broader range of perspectives, enhancing the overall validity and reliability of the research findings.