What kind of sampling might lead to a lack of generalizability due to only using easily accessible data?

Convenient sampling is a method that involves selecting a sample based on what is easiest or most readily available to the researcher rather than selecting participants at random from the entire population. This approach often leads to a lack of generalizability because the sample may not accurately represent the broader population. For example, if a researcher surveys people in a specific location or utilizes data that is easy to access (like friends or colleagues), the findings may reflect the characteristics of that particular group rather than providing insights applicable to a wider audience.

This method can skew results, leading to biased conclusions that do not hold true for the larger population. By focusing only on easily accessible data, the researcher might overlook important variations and demographic factors that contribute to more accurate and robust insights. Consequently, the lack of diversity in the sample can hinder the effectiveness of the analysis, as it may not capture the full spectrum of experiences or behaviors present in the target population.