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Minimizing selection bias requires creating a sample that accurately represents the population. Including employees from various departments and tenure levels ensures diverse perspectives are captured. For example, newer employees might have different satisfaction levels than veterans, and capturing this variation prevents skewed results. Stratified sampling or random sampling methods are particularly effective in reducing such biases. Why Other Options Are Wrong : A) Limiting the sample to specific tenure groups excludes others, introducing bias. C) Relying on volunteers can lead to self-selection bias, as only motivated individuals participate. D) Convenience sampling prioritizes ease over accuracy, often leading to skewed results. E) Excluding certain groups like probationary employees may omit valuable data.
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