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| 설명 연구× | 기술 연구× | |
|---|---|---|
| 분야 | 연구설계 | 연구설계 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1960s–1980s (codified in behavioral and social science methodology) | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| 창시자≠ | Formalized by Earl Babbie and Fred Kerlinger among others | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| 유형 | Non-experimental quantitative research design | Non-experimental quantitative research design |
| 원전≠ | Kerlinger, F. N. (1986). Foundations of Behavioral Research (3rd ed.). Holt, Rinehart and Winston. ISBN: 978-0030417559 | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| 별칭 | analytical research, causal research, explanatory study, explanatory quantitative research | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| 관련≠ | 5 | 3 |
| 요약≠ | 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. | Descriptive research is a non-experimental quantitative design that systematically documents the characteristics, frequencies, or distributions of variables in a defined population at a given point in time. It answers 'what is' questions — who, what, when, where, and how much — without manipulating variables or drawing causal conclusions. It is one of the most widely used research designs across the social, behavioral, health, and education sciences. |
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