What is a question you shouldn't consider when developing a data collection plan?

When developing a data collection plan, a crucial consideration is ensuring that the data collected serves its intended purpose and supports objective analysis. Focusing on what the data confirms about expectations biases the collection process and can lead to confirmation bias, where only data supporting preconceived notions is emphasized.

In contrast, the questions regarding what data is necessary, how the data will be analyzed, and who will collect the data are foundational to creating a robust plan. These considerations ensure that the data will be relevant, that there is a systematic approach to its interpretation, and that responsibilities for data collection are clearly assigned. This approach fosters a comprehensive understanding of the subject matter, enhances the reliability of the findings, and promotes integrity in the research process. By avoiding questions that seek to validate expectations, a data collection plan can remain objective and effective.