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단면 관계 조사×기술 연구×
분야연구설계연구설계
계열Process / pipelineProcess / pipeline
기원 연도Mid-20th century onwardLate 19th century; formalized in social/behavioral sciences ~1960s–1980s
창시자Rooted in survey methodology traditions; codified by Fraenkel, Wallen, and Creswell among othersFrancis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger
유형Non-experimental quantitative designNon-experimental quantitative research design
원전Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0078097706Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101
별칭cross-sectional correlational survey, one-time relational survey, cross-sectional associational survey, single-occasion relational surveydescriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research
관련43
요약A cross-sectional relational survey collects data from a representative sample at a single point in time and examines the statistical relationships (correlations, associations, predictions) among two or more variables. It combines the temporal efficiency of cross-sectional design with the relational focus of correlational survey research, making it one of the most widely used quantitative designs in education, social science, and health research when a quick, population-level picture of variable relationships is needed.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.
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ScholarGate방법 비교: Cross-sectional relational survey · Descriptive Research. 2026-06-19에 다음에서 검색함: https://scholargate.app/ko/compare