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Causal-Comparative Research — Retrospective Group-Comparison Design
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.
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Sources
- Kerlinger, F. N. (1964). Foundations of Behavioral Research. Holt, Rinehart and Winston. link ↗
- Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0078097850
Related methods
Referenced by
Bayesian Ex Post Facto DesignComparative Cross-Sectional ResearchComparative Descriptive ResearchComparative Explanatory ResearchComparative Relational SurveyComparative Survey ResearchCross-sectional causal-comparative researchCross-sectional ex post facto designEx Post Facto DesignExplanatory ResearchHierarchical Causal-Comparative ResearchHypothesis Testing ResearchLongitudinal Causal-Comparative ResearchLongitudinal Ex Post Facto DesignLongitudinal Explanatory ResearchModel Testing ResearchMultivariate Causal-Comparative ResearchMultivariate Cohort ResearchMultivariate Explanatory ResearchPanel-based Causal-Comparative ResearchRelational SurveyRobust Explanatory ResearchSimulation-assisted causal-comparative research