Which recruitment strategy helps minimize sampling bias?

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Multiple Choice

Which recruitment strategy helps minimize sampling bias?

Explanation:
Minimizing sampling bias relies on getting a sample that reflects the diversity of the population you want to study. Broad recruitment across diverse settings helps achieve this by reaching people from different backgrounds, locations, and circumstances, so the group studied is more likely to resemble the wider population. When recruitment comes from a single source or is limited to advertising in one place, you tend to attract people with similar characteristics, which can skew results. Relying on volunteers from a niche site also tends to select self‑motivated individuals with particular traits, introducing bias. So broad, varied recruitment reduces these biases and improves how well the findings generalize.

Minimizing sampling bias relies on getting a sample that reflects the diversity of the population you want to study. Broad recruitment across diverse settings helps achieve this by reaching people from different backgrounds, locations, and circumstances, so the group studied is more likely to resemble the wider population. When recruitment comes from a single source or is limited to advertising in one place, you tend to attract people with similar characteristics, which can skew results. Relying on volunteers from a niche site also tends to select self‑motivated individuals with particular traits, introducing bias. So broad, varied recruitment reduces these biases and improves how well the findings generalize.

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