Comparer des méthodes

	Recherche explicative longitudinale	Recherche causale-comparative
Domaine	Conception de la recherche	Conception de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	1970s–1990s (formal methodological codification)	1964
Auteur d'origine	Rooted in panel and longitudinal survey traditions; systematised by Scott Menard and others in the late 20th century	Fred N. Kerlinger
Type	Quantitative observational research design	Non-experimental quantitative research design
Source fondatrice	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452	Kerlinger, F. N. (1964). Foundations of Behavioral Research. Holt, Rinehart and Winston.
Alias	explanatory longitudinal design, longitudinal causal research, explanatory panel study, longitudinal explanatory study	ex post facto research, causal-comparative design, retrospective causal study, CCR
Apparentées	4	3
Résumé	Longitudinal explanatory research combines repeated measurement over time with an explicit aim of explaining why and how variables change or influence one another. Unlike purely descriptive longitudinal designs, the explanatory orientation tests causal or predictive hypotheses by examining temporal precedence — a key criterion for causal inference in non-experimental settings. It is widely used in social, behavioral, educational, and health sciences to disentangle cause from correlation.	Causal-comparative research is a non-experimental quantitative design in which the researcher compares two or more groups that already differ on an independent variable — one that was not manipulated — to investigate possible causes or consequences of that difference. Because group membership is pre-existing rather than randomly assigned, the design can suggest causal relationships but cannot establish them with the certainty of a true experiment. It is widely used in education, psychology, and social sciences when experimental manipulation is impractical or unethical.