Purposive sampling has gained prominence as a methodological strategy in qualitative inquiry, privileging the deliberate selection of information-rich participants who possess direct and meaningful experiences related to the phenomenon under investigation. Unlike probability-based approaches that emphasize representativeness, purposive sampling facilitates a deeper, contextually grounded understanding of complex social realities, making it highly applicable in exploratory and interpretive research paradigms. This study adopted a literature review design, systematically synthesizing existing scholarly works on purposive sampling across qualitative research contexts. Relevant peer-reviewed articles, books, and empirical studies were selected using predefined inclusion criteria to ensure methodological rigor and relevance. The collected literature was analyzed using thematic synthesis, enabling the identification of recurring patterns, conceptual frameworks, and methodological insights related to the application, strengths, and limitations of purposive sampling. The review revealed that purposive sampling significantly enhances the richness and relevance of qualitative data by prioritizing participants with specialized knowledge or lived experiences. It was consistently associated with improved depth of analysis and contextual interpretation. Additionally, this method contributes to research efficiency by minimizing extraneous data collection. However, literature also underscores inherent limitations, particularly susceptibility to researcher bias and challenges in generalizability due to its non-probabilistic nature. The findings affirm that purposive sampling remains an indispensable strategy in qualitative research, especially when the objective is to generate nuanced, meaning-centered insights rather than statistical generalizations. While concerns regarding subjectivity persist, these can be mitigated through transparent selection criteria, reflexivity, and methodological rigor.
DON DOMINIC OLEA (Wed,) studied this question.