The degree to which an experimental design actually reflects the real-world issues it is supposed to address is called external validity.
The extent to which you may use a scientific study's findings in contexts and settings outside of the sample is known as external validity. This idea is crucial for judging the applicability of experimental data because the aim of scientific study is frequently to develop general information about the real world. You might think about how an outcome relates to different persons, circumstances, and time periods while determining its external validity.
A specialised sample typically has a lower likelihood of yielding results that are highly generalised. When you can apply your study to different studies, subjects, participants, venues, and timeframes, external validity is high. When you can't repeat your research in various settings, external validity is low.
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