방법 비교

	횡단 기술 연구	조사 연구
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	Mid-20th century (1950s–1970s, widespread codification)	Late 19th century; methodologically systematised 1940s–1960s
창시자	Rooted in survey methodology traditions; formalized in epidemiology and social science research design texts of the mid-20th century	Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s
유형	Quantitative observational research design	Quantitative (and mixed) non-experimental design
원전	Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101	Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000
별칭	cross-sectional survey, descriptive cross-sectional study, prevalence study, one-shot descriptive survey	survey methodology, questionnaire research, survey design, survey study
관련	3	4
요약	Cross-sectional descriptive research collects data from a population or sample at a single point in time to portray the current distribution of characteristics, attitudes, behaviors, or conditions. It answers 'what is happening now?' questions without manipulating variables or following participants over time. Widely used in epidemiology, education, psychology, and the social sciences, it is the foundation for prevalence estimates, needs assessments, and baseline profiling.	Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences.