השוואת שיטות

	ניתוח פנומנולוגי השוואתי פרשני	פנומנולוגיה השוואתית
תחום	איכותני	איכותני
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1996 (IPA); comparative applications prominent from 2000s onward	Late 20th century (comparative applications prominent from the 1980s–1990s onward)
הוגה השיטה	Jonathan A. Smith (IPA); comparative extension by IPA research community	Edmund Husserl (foundational); systematised in comparative application by Amedeo Giorgi, Max van Manen, and others
סוג	Qualitative research design	Qualitative comparative research design
מקור מכונן	Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretative Phenomenological Analysis: Theory, Method and Research. Sage. ISBN: 978-1412908344	van Manen, M. (1990). Researching Lived Experience: Human Science for an Action Sensitive Pedagogy. State University of New York Press. ISBN: 978-0791404645
כינויים	Comparative IPA, cross-group IPA, IPA comparative design, multi-group interpretative phenomenological analysis	cross-group phenomenology, multi-group phenomenological study, comparative phenomenological inquiry, contrastive phenomenology
קשורות	5	4
תקציר	Comparative Interpretative Phenomenological Analysis (Comparative IPA) applies the IPA framework — developed by Jonathan A. Smith — to examine and contrast the lived experiences of two or more distinct groups or individuals. Rather than producing a single composite description, it preserves within-group detail and then performs a principled cross-group comparison, revealing how the same phenomenon is experienced differently depending on context, identity, or circumstance.	Comparative phenomenology applies phenomenological inquiry to two or more distinct groups, cultures, or contexts, explicitly contrasting how each group lives through and makes meaning of a shared phenomenon. Rather than describing a single unified essence, it reveals both common structures and meaningful differences in lived experience across comparison units. The approach is grounded in Husserlian and hermeneutic phenomenology but extends the standard single-group design into a structured cross-group analysis.