Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Investigación Descriptiva Transversal× | Investigación Descriptiva× | |
|---|---|---|
| Campo | Diseño de investigación | Diseño de investigación |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | Mid-20th century (1950s–1970s, widespread codification) | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| Autor original≠ | Rooted in survey methodology traditions; formalized in epidemiology and social science research design texts of the mid-20th century | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| Tipo≠ | Quantitative observational research design | Non-experimental quantitative research design |
| Fuente seminal | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| Alias | cross-sectional survey, descriptive cross-sectional study, prevalence study, one-shot descriptive survey | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| Relacionados | 3 | 3 |
| Resumen≠ | 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. | 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. |
| ScholarGateConjunto de datos ↗ |
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