手法を比較

	パネルベース因果比較研究	縦断研究
分野	研究デザイン	研究デザイン
系統	Process / pipeline	Process / pipeline
提唱年	1950s–1980s (formalized across educational and social science methodology literature)	Late 19th–early 20th century; methodologically codified through the 20th century
提唱者	Building on causal-comparative tradition (John W. Best, 1959) extended to panel data structures in social and educational research	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
種類	Quantitative observational research design	Quantitative (or mixed) observational research design
原典	Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to Design and Evaluate Research in Education (10th ed.). McGraw-Hill. ISBN: 978-1260087840	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
別名	panel causal-comparative design, longitudinal ex post facto research, panel ex post facto study, repeated-measures causal-comparative study	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
関連	5	4
概要	Panel-based causal-comparative research is a quantitative observational design that tracks the same sample of participants or units across multiple time points and then compares pre-existing groups to identify differences in outcomes. By combining the temporal depth of a panel structure with the group-contrast logic of causal-comparative (ex post facto) methodology, it allows researchers to examine how naturally occurring conditions — such as treatment exposure, policy changes, or demographic characteristics — relate to outcomes over time, without experimental random assignment.	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.