Generalization refers to predictions that can be applied to what?

Generalization refers to predictions that can be applied to what?

• A. A wider population from which the sample came
• B. The exact sample
• C. Only to the experimental conditions
• D. Only to the observed data

Answer: (A)

Generalization is about applying what you found in a study to a larger group beyond the people actually studied. When you collect a sample, you want to know if the results would hold for the broader population from which that sample came. So the idea is making predictions about that wider population, not just about the exact individuals you observed, nor just about the specific experimental conditions, nor only about the data you collected. That’s why the best choice points to the wider population from which the sample was drawn. The other options confine applicability to the exact sample, the experimental conditions, or the observed data, which is not what generalization means.

Generalization is about applying what you found in a study to a larger group beyond the people actually studied. When you collect a sample, you want to know if the results would hold for the broader population from which that sample came. So the idea is making predictions about that wider population, not just about the exact individuals you observed, nor just about the specific experimental conditions, nor only about the data you collected.

That’s why the best choice points to the wider population from which the sample was drawn. The other options confine applicability to the exact sample, the experimental conditions, or the observed data, which is not what generalization means.