방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 횡단 조사 연구× | 기술 연구× | |
|---|---|---|
| 분야 | 연구설계 | 연구설계 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1930s–1950s (formalized with large-scale opinion and health surveys) | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| 창시자≠ | Established through the social survey tradition (Bowley, Gallup, and others in the early-to-mid 20th century) | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| 유형≠ | Quantitative non-experimental design | Non-experimental quantitative research design |
| 원전≠ | Fowler, F. J. (2009). Survey Research Methods (4th ed.). Sage Publications. ISBN: 978-1412958929 | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| 별칭 | cross-sectional survey, single-occasion survey, prevalence survey design, snapshot survey | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| 관련≠ | 4 | 3 |
| 요약≠ | Cross-sectional survey research administers a structured questionnaire or interview to a representative sample of a population at one point in time. It is the workhorse design for estimating prevalence, describing group characteristics, and mapping associations among variables across a wide range of disciplines — from public health and education to marketing and political science. | 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. |
| ScholarGate데이터셋 ↗ |
|
|