방법 비교

	비교 모형 검증 연구	확증적 연구
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	1969–2000s	1934 (Popper); widely adopted in social sciences from 1960s onward
창시자	Rooted in structural equation modeling traditions; formalized through Jöreskog (1969) and extended by Vandenberg & Lance (2000)	Karl Popper (falsificationism); formalized in behavioral sciences by Paul Meehl and others
유형	Quantitative confirmatory-comparative research design	Quantitative research design
원전	Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling (4th ed.). Guilford Press. ISBN: 978-1462523344	Popper, K. R. (1959). The Logic of Scientific Discovery. Hutchinson. ISBN: 978-0415278447
별칭	comparative model comparison, cross-group model testing, competing model comparison research, comparative structural model evaluation	hypothesis-testing research, deductive research, theory-testing research, confirmatory study
관련	4	4
요약	Comparative model testing research is a quantitative design in which two or more theoretically motivated models — or the same model evaluated across distinct groups or conditions — are systematically tested and compared using fit indices, likelihood-ratio tests, or information criteria. The goal is to determine which model better represents the data structure, or whether a model's parameter structure holds equally across comparison groups.	Confirmatory research is a deductive quantitative design in which the researcher specifies hypotheses derived from existing theory before data collection, then tests whether the data support or refute those hypotheses. Unlike exploratory approaches that generate ideas from data, confirmatory research begins with an established theoretical framework, pre-registers predictions, and applies statistical tests to evaluate those predictions against empirical evidence. It is the backbone of hypothesis-driven social, behavioral, and health science inquiry.