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| Querschnittliche deskriptive Forschung× | Umfrageforschung× | |
|---|---|---|
| Fachgebiet | Forschungsdesign | Forschungsdesign |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | Mid-20th century (1950s–1970s, widespread codification) | Late 19th century; methodologically systematised 1940s–1960s |
| Urheber≠ | Rooted in survey methodology traditions; formalized in epidemiology and social science research design texts of the mid-20th century | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Typ≠ | Quantitative observational research design | Quantitative (and mixed) non-experimental design |
| Wegweisende Quelle≠ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Aliasnamen | cross-sectional survey, descriptive cross-sectional study, prevalence study, one-shot descriptive survey | survey methodology, questionnaire research, survey design, survey study |
| Verwandt≠ | 3 | 4 |
| Zusammenfassung≠ | 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. | 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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