방법 비교

	트렌드 연구	기술 연구	종단 연구	패널 연구	조사 연구
분야	연구설계	연구설계	연구설계	연구설계	연구설계
계열	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline
기원 연도	Mid-20th century (formalised in social science methodology ~1950s–1960s)	Late 19th century; formalized in social/behavioral sciences ~1960s–1980s	Late 19th–early 20th century; methodologically codified through the 20th century	1970s-1980s (econometric formalization); earlier social survey use from 1940s	Late 19th century; methodologically systematised 1940s–1960s
창시자	Earl Babbie and survey research tradition	Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett	Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s	Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s
유형	Quantitative longitudinal research design	Non-experimental quantitative research design	Quantitative (or mixed) observational research design	Quantitative longitudinal observational 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	Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717	Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000
별칭	trend study, trend survey, longitudinal trend study, time-series survey	descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study	panel study, panel survey, longitudinal panel, repeated-measures panel	survey methodology, questionnaire research, survey design, survey study
관련	4	3	4	3	4
요약	Trend research is a longitudinal quantitative design that tracks changes in a characteristic of a general population over time by surveying different, independently drawn samples at two or more time points. Unlike panel studies, the same individuals are not followed; rather, each wave draws a fresh sample from the same population, allowing researchers to detect population-level shifts in attitudes, behaviours, or conditions while avoiding the attrition and panel conditioning problems of repeated-measures designs.	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.	Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time.	Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time.	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.