This question encourages a thorough examination of factors that could affect the validity of the analytical findings.
Nqobile Ngoma
Selection bias which results from a sample that's not a representation of the entire population you studying.
Poor data quality mainly for secondary data analysis, where values were missing or inaccurate for most important variables.
Faulty interpretation
Interpreting correlation as causality
Confirmation bias is where the focus is biased towards preconceptions.
Information bias when retrospective data collection or self-reporting by participants is not as accurate or poor interviewing techniques.
Recall bias is when participants don't really remember previous events accurately.
Researcher bias
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