Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Описательное кросс-секционное исследование× | Лонгитюдное исследование× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Mid-20th century (1950s–1970s, widespread codification) | Late 19th–early 20th century; methodologically codified through the 20th century |
| Автор метода≠ | Rooted in survey methodology traditions; formalized in epidemiology and social science research design texts of the mid-20th century | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett |
| Тип≠ | Quantitative observational research design | Quantitative (or mixed) observational research design |
| Основополагающий источник≠ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 |
| Другие названия | cross-sectional survey, descriptive cross-sectional study, prevalence study, one-shot descriptive survey | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study |
| Связанные≠ | 3 | 4 |
| Сводка≠ | Cross-sectional descriptive research collects data from a population or sample at a single point in time to portray the current distribution of characteristics, attitudes, behaviors, or conditions. It answers 'what is happening now?' questions without manipulating variables or following participants over time. Widely used in epidemiology, education, psychology, and the social sciences, it is the foundation for prevalence estimates, needs assessments, and baseline profiling. | Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time. |
| ScholarGateНабор данных ↗ |
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