Several challenges can arise during data collection, including:
- Selection Bias: When the sample is not representative of the population. This can be mitigated by using random sampling techniques. - Information Bias: Inaccuracies in the data collected, which can occur due to faulty instruments or respondent errors. Ensuring the use of validated instruments and thorough training of data collectors can help reduce this. - Non-Response Bias: When certain groups do not participate in the study, leading to skewed results. Strategies such as follow-up reminders and incentives can help improve response rates. - Ethical Issues: Ensuring informed consent and maintaining confidentiality and anonymity of participants.
