Common Approaches for Qualitative Research
摘要
This chapter explores the five major qualitative research approaches: case study, ethnography, phenomenology, narrative, and grounded theory. The case study research examines a specific phenomenon to understand its complexities and impacts. The case can be an individual, community, organization, or program. Ethnography focuses on the cultural practices of a community from an insider’s perspective. It uses multiple methods and a few samples to collect data. Researchers spend extensive time in the field but are fulfilled because of the rich data gathered. It mainly uses participant observation and nonparticipant observation. Grounded theory involves generating new theories through systematic collection and analysis, focusing on building theories grounded in the data rather than existing theories. It uses specific procedures and techniques that require well-developed skills and knowledge. As such, its application, especially by students, is limited. Narratives collect and analyze personal stories or accounts to understand how people perceive and make sense of them. The most common types include biography, autobiography, oral history, re-storying, and letter writing. Triangulation is emphasized in the narrative to thoroughly understand the phenomenon at hand. Phenomenology aims to uncover and describe the scene of individuals’ lived experiences regarding a particular phenomenon. A core premise is to “bracket preconceived assumptions,” meaning researchers set aside their own beliefs and perceptions to understand the participant’s experiences fully. Through this process, the phenomenon aims to condense individual experiences into a “universal essence.” In qualitative research, quality is equated with trustworthiness, which includes credibility, transferability, dependability, and conformability. Credibility ensures an accurate representation of participants’ views, transferability provides context for applying findings elsewhere, and dependability and confirmability focus on consistency and data-driven results, respectively. These criteria collectively inform the validity and reliability of the data.