Meta-analyses are reported to improve external validity.

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Multiple Choice

Meta-analyses are reported to improve external validity.

Explanation:
External validity is about whether study findings apply to people and settings beyond the exact sample studied. A meta-analysis combines results from many studies, often spanning different populations and real-world contexts. This breadth means the overall estimate reflects a wider range of circumstances than any single study, making the findings more generalizable. When the included studies show diverse participants, settings, or interventions, the synthesized result tends to apply to a broader group and real-world situations. Researchers can also explore whether effects differ across subgroups, which helps clarify applicability to various populations. Of course, this relies on having a diverse, high-quality evidence base and on addressing biases like publication bias; without that, generalizability may not improve.

External validity is about whether study findings apply to people and settings beyond the exact sample studied. A meta-analysis combines results from many studies, often spanning different populations and real-world contexts. This breadth means the overall estimate reflects a wider range of circumstances than any single study, making the findings more generalizable. When the included studies show diverse participants, settings, or interventions, the synthesized result tends to apply to a broader group and real-world situations. Researchers can also explore whether effects differ across subgroups, which helps clarify applicability to various populations. Of course, this relies on having a diverse, high-quality evidence base and on addressing biases like publication bias; without that, generalizability may not improve.

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