Judgment Sampling, also known as Purposive Sampling, is a non-probability sampling technique where the researcher selects participants based on their knowledge, experience, or judgment about who would be most informative or relevant to the study. This method is particularly useful in 質的研究, where the goal is to gain deep insights rather than generalize findings to a larger population.
In this sampling method, the researcher identifies specific individuals or groups that possess particular characteristics or insights relevant to the research question. For example, if a study is investigating the impact of 気候変動 on local agriculture, a researcher might choose to sample farmers who have been affected by climate change, rather than randomly selecting individuals from the general 人口。
判断抽出法は貴重で詳細な情報を提供できますが、その its limitations. Since the selection of participants is subjective and based on the researcher’s judgment, it can introduce bias into the study. Additionally, findings from Judgment Sampling cannot be generalized to the broader population due to the non-random nature サンプル選択の偏りもあります。
全体として、判断抽出法は研究者が複雑な問題を深く探求したい場合に有用な手法ですが、 complex issues deeply, but it requires careful consideration to ensure that the selected participants are adequately representative of the phenomena being studied.