방법 비교

	종단 가설 검정 연구	확증적 연구
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	Consolidated as a formal design framework in the 1960s–1980s	1934 (Popper); widely adopted in social sciences from 1960s onward
창시자	Synthesized from longitudinal design traditions (Lazarsfeld, 1940s) and classical hypothesis testing (Fisher, Neyman-Pearson, 1920s–1930s)	Karl Popper (falsificationism); formalized in behavioral sciences by Paul Meehl and others
유형	Quantitative longitudinal research design	Quantitative research design
원전	Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. ISBN: 978-0195152968	Popper, K. R. (1959). The Logic of Scientific Discovery. Hutchinson. ISBN: 978-0415278447
별칭	longitudinal confirmatory study, repeated-measures hypothesis testing, prospective hypothesis testing, longitudinal inferential research	hypothesis-testing research, deductive research, theory-testing research, confirmatory study
관련	5	4
요약	Longitudinal hypothesis testing research combines a longitudinal design — measuring the same units repeatedly over time — with formal null-hypothesis significance testing to determine whether observed changes exceed what chance alone can explain. It is widely used in education, medicine, psychology, and social science to test directional predictions about change, stability, or group differences that emerge over a defined time span.	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.