Confronta i metodi
Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Ricerca tramite sondaggio trasversale× | Ricerca tramite sondaggio× | |
|---|---|---|
| Campo | Disegno della ricerca | Disegno della ricerca |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1930s–1950s (formalized with large-scale opinion and health surveys) | Late 19th century; methodologically systematised 1940s–1960s |
| Ideatore≠ | Established through the social survey tradition (Bowley, Gallup, and others in the early-to-mid 20th century) | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Tipo≠ | Quantitative non-experimental design | Quantitative (and mixed) non-experimental design |
| Fonte seminale≠ | Fowler, F. J. (2009). Survey Research Methods (4th ed.). Sage Publications. ISBN: 978-1412958929 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Alias | cross-sectional survey, single-occasion survey, prevalence survey design, snapshot survey | survey methodology, questionnaire research, survey design, survey study |
| Correlati | 4 | 4 |
| Sintesi≠ | 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. | Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences. |
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