方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 解释性研究× | 确认性研究× | |
|---|---|---|
| 领域 | 研究设计 | 研究设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1960s–1980s (codified in behavioral and social science methodology) | 1934 (Popper); widely adopted in social sciences from 1960s onward |
| 提出者≠ | Formalized by Earl Babbie and Fred Kerlinger among others | Karl Popper (falsificationism); formalized in behavioral sciences by Paul Meehl and others |
| 类型≠ | Non-experimental quantitative research design | Quantitative research design |
| 开创性文献≠ | Kerlinger, F. N. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417559 | Popper, K. R. (1959). The Logic of Scientific Discovery. Hutchinson. ISBN: 978-0415278447 |
| 别名 | analytical research, causal research, explanatory study, explanatory quantitative research | hypothesis-testing research, deductive research, theory-testing research, confirmatory study |
| 相关≠ | 5 | 4 |
| 摘要≠ | 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. | 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. |
| ScholarGate数据集 ↗ |
|
|