Observer bias and lack of generalizability are common issues in observational research, affecting the study's credibility and applicability to the wider population.
Observer bias: One potential issue in observational research is observer bias, where researchers may unconsciously skew observations to fit their goals. To mitigate this, clear criteria and inter-rater reliability tests are essential.
Lack of generalizability: Observational studies lack random samples, making it difficult to generalize results to the entire population. The data may not capture all variables of interest or measure them in preferred ways.
Sample size and diversity: Studying a specific group like basketball players may not reflect the diversity in heights within the general population, leading to biased results.
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