Final answer:
To avoid data collection bias while improving ASU's education standards, method C (anonymous data collection) is most likely to yield unbiased results. Methods A, B, and D involve risks of bias due to non-response, self-selection, and unrepresentative sampling respectively.
Step-by-step explanation:
When collecting data via an online survey to improve education standards at ASU, avoiding data collection bias is crucial for obtaining representative feedback. Of the options provided, method C, which entails anonymously collecting data by hiding the ASU brand in the survey questions, is the most likely to avoid bias. This is because anonymity can help mitigate undue influence and encourage respondents to answer honestly, without fear of personal consequences or the need to present themselves in a certain light. By contrast, methods A, B, and D are more susceptible to bias due to non-response based on strong opinions (A), self-selection of people with a vested interest (B), and a sample that may not be representative of the broader population (D).