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Confirmatory Research — Theory-Testing Quantitative Design
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.
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Sources
- Popper, K. R. (1959). The Logic of Scientific Discovery. Hutchinson. ISBN: 978-0415278447
- Kline, R. B. (2013). Beyond Significance Testing: Statistics Reform in the Behavioral Sciences (2nd ed.). American Psychological Association. ISBN: 978-1433812378
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Referenced by
Bayesian Hypothesis Testing ResearchBayesian Survey ResearchComparative Confirmatory ResearchComparative Model Testing ResearchExplanatory ResearchExploratory Quantitative ResearchHierarchical Confirmatory ResearchHierarchical Model Testing ResearchHypothesis Testing ResearchLongitudinal Confirmatory ResearchLongitudinal Hypothesis Testing ResearchLongitudinal Model Testing ResearchModel Testing ResearchMultivariate Exploratory Quantitative Research