Porównaj metody

	Badania przyczynowo-porównawcze	Projekt ex post facto	Badania podłużne
Dziedzina	Projektowanie badań	Projektowanie badań	Projektowanie badań
Rodzina	Process / pipeline	Process / pipeline	Process / pipeline
Rok powstania	1964	1960s (systematic codification); concept used in social science from early 20th century	Late 19th–early 20th century; methodologically codified through the 20th century
Twórca	Fred N. Kerlinger	Formalized by Fred N. Kerlinger; foundational treatment by Donald T. Campbell and Julian C. Stanley	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
Typ	Non-experimental quantitative research design	Non-experimental quantitative research design	Quantitative (or mixed) observational research design
Źródło pierwotne	Kerlinger, F. N. (1964). Foundations of Behavioral Research. Holt, Rinehart and Winston.	Kerlinger, F. N. (1964). Foundations of Behavioral Research. Holt, Rinehart and Winston.	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
Inne nazwy	ex post facto research, causal-comparative design, retrospective causal study, CCR	after-the-fact research, retrospective non-experimental design, causal-comparative design, EPF design	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
Pokrewne	3	3	4
Podsumowanie	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.	Ex post facto design is a non-experimental quantitative research approach in which the researcher investigates a phenomenon after it has already occurred, examining pre-existing differences between groups to explore potential causal or associative relationships. Because the independent variable cannot be manipulated — it happened in the past — the design relies on careful group selection, retrospective data collection, and statistical controls to approximate causal inference without experimental intervention.	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.