Сравнение на методи
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| Потвърждаващо изследване× | Обяснително изследване× | |
|---|---|---|
| Област | Дизайн на изследването | Дизайн на изследването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1934 (Popper); widely adopted in social sciences from 1960s onward | 1960s–1980s (codified in behavioral and social science methodology) |
| Създател≠ | Karl Popper (falsificationism); formalized in behavioral sciences by Paul Meehl and others | Formalized by Earl Babbie and Fred Kerlinger among others |
| Тип≠ | Quantitative research design | Non-experimental quantitative research design |
| Основополагащ източник≠ | Popper, K. R. (1959). The Logic of Scientific Discovery. Hutchinson. ISBN: 978-0415278447 | Kerlinger, F. N. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417559 |
| Други названия | hypothesis-testing research, deductive research, theory-testing research, confirmatory study | analytical research, causal research, explanatory study, explanatory quantitative research |
| Свързани≠ | 4 | 5 |
| Резюме≠ | 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. | Explanatory research is a non-experimental quantitative research design that goes beyond describing a phenomenon to identifying why it occurs — examining the relationships or mechanisms that account for observed patterns. Rooted in positivist social science methodology, it uses theory-driven hypotheses and statistical analysis to test whether specific variables explain variation in an outcome, without necessarily manipulating those variables. |
| ScholarGateНабор от данни ↗ |
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