What method can researchers use to ensure their study results are generalizable?

Employing a representative sample and appropriate sampling techniques is essential for researchers who aim to ensure that their study results are generalizable to a larger population. A representative sample closely reflects the diversity and characteristics of the broader population from which it is drawn. This increases the likelihood that findings from the sample can be applied to the entire population, lending credibility to the research.

Using appropriate sampling techniques, such as random sampling, stratified sampling, or cluster sampling, helps mitigate biases that could arise from selecting participants. By carefully designing the sample selection process, researchers can capture variations within the population, ensuring that various subgroups are adequately represented. This lays the groundwork for more reliable and applicable conclusions from the research.

In contrast, relying on a non-representative sample, conducting the study in a controlled environment without considering external factors, or limiting participation to a specific demographic can significantly hinder the ability to generalize findings. These approaches may lead to results that reflect only a narrow context, reducing the applicability of the research to a wider audience.