Two examples of processes for data collection. what key principles are considered in these processes to ensure data accuracy?

Two examples of processes for data collection are:

In-person interviewing: This is a face-to-face method or process of data collection. It has a high rate of response and allows you to ask follow-up questions when the response of the interviewee is not clear.

Sample Surveys: In this method, a sample is selected from a large population and then a questionnaire is constructed and sent to the sample for them to give their feedback or response in line with the research problem.

Three Key Principles considered in these processes to ensure data accuracy are:

Completeness: This means that what was expected to be collected as data was what was collected. Completeness of data is a vital factor for data quality.

Consistency: There must be uniformity in the data collection process. Everyone involved in the data collection process must understand what is required of them.

Accuracy: The data must be free of errors

Explanation:

answer is:

a). backstage view

explanation:

backstage view is the area where files and data about them is managed— creating, saving, printing, sending to others, inspecting for hidden metadata or personal information, and setting options. so in this way we can add many things to our document swiftly.

i hope you get the idea.