So sánh phương pháp

	Phương pháp hỗn hợp tuần tự khám phá có sự tham gia	Thiết kế Phương pháp hỗn hợp tuần tự thăm dò
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2007–2011 (participatory variant codified in Creswell & Plano Clark's typology expansions)	1990s–2000s (codified by ~2007)
Người khởi xướng	John W. Creswell & Vicki L. Plano Clark (exploratory sequential base); Donna M. Mertens (participatory/transformative lens)	John W. Creswell & Vicki L. Plano Clark
Loại	Mixed methods research design	Mixed methods research design
Công trình gốc	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483344379	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Tên gọi khác	participatory QUAN→QUAL design, community-based exploratory sequential design, participatory two-phase mixed methods, QUAL→QUAN participatory design	QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
Liên quan	5	6
Tóm tắt	Participatory exploratory sequential mixed methods is a two-phase design in which an initial qualitative phase — conducted with and by community members — generates findings that are used to build or refine a quantitative instrument or intervention, which is then tested in a second phase. The participatory lens ensures that affected communities co-own the research agenda, the data, and the interpretation throughout both phases.	The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale.