Porównaj metody

	Przegląd badań jakościowych	Research Question Formulation
Dziedzina	Metodologia badań	Metodologia badań
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1900	1950
Twórca	Ethnographers (Boas), grounded theorists (Glaser & Strauss, 1967), phenomenologists, and interpretivists (1900s–1980s)	Kerlinger, Campbell, & Fisher (1950s–1990s research methodology literature)
Typ	Framework	Framework
Źródło pierwotne	Creswell, J. W. (2017). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (4th ed.). SAGE Publications.	Kerlinger, F. N., & Lee, H. B. (1999). Foundations of Behavioral Research (4th ed.). Wadsworth.
Inne nazwy	qualitative inquiry, exploratory research, interpretive research	RQF, research question design
Pokrewne	3	2
Podsumowanie	Qualitative research is a systematic inquiry into human experiences, meanings, behaviors, and contexts using non-numerical data (words, text, images, observations). Unlike quantitative research, which seeks to measure variables and test hypotheses numerically, qualitative research prioritizes depth, contextual richness, and understanding of 'how' and 'why.' Major approaches include phenomenology (lived experiences), grounded theory (theory development from data), ethnography (cultural understanding through immersion), case study (in-depth investigation of a specific case), and narrative inquiry (personal stories). Creswell (2017), Braun and Clarke (2006), and Patton (2015) provide contemporary frameworks for qualitative design, data collection, and analysis.	Research question formulation is the process of defining clear, focused, and answerable questions that guide a research study. A well-formulated research question specifies what a researcher seeks to investigate, distinguishing between independent and dependent variables (or phenomena), and sets the scope for literature review, methodological design, and data collection. Established in behavioral research literature in the mid-20th century, this framework remains foundational because it transforms vague research interests into testable, empirically grounded inquiries.