방법 비교

	비교 탐색적 양적 연구	기술 연구
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	Mid-to-late 20th century	Late 19th century; formalized in social/behavioral sciences ~1960s–1980s
창시자	No single originator; codified in quantitative research methodology traditions (20th century)	Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger
유형	Quantitative research design	Non-experimental quantitative research design
원전	Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage Publications. ISBN: 978-1452226101	Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101
별칭	exploratory comparative quantitative design, comparative exploratory survey research, quantitative comparative exploration, CEQR design	descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research
관련	3	3
요약	Comparative exploratory quantitative research is a design that uses structured numerical data collection to discover patterns, differences, and relationships across two or more distinct groups or conditions — without a fully specified hypothesis in advance. It sits at the intersection of exploratory intent and comparative structure: the researcher does not enter the field with a predetermined answer but organises the inquiry around a comparison that will generate quantitative insights. The design is common in social, educational, and behavioural sciences when a phenomenon is insufficiently understood to permit confirmatory testing but structured group comparison is still feasible and informative.	Descriptive research is a non-experimental quantitative design that systematically documents the characteristics, frequencies, or distributions of variables in a defined population at a given point in time. It answers 'what is' questions — who, what, when, where, and how much — without manipulating variables or drawing causal conclusions. It is one of the most widely used research designs across the social, behavioral, health, and education sciences.