Methoden vergleichen
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| Querschnittliche relationale Erhebung× | Umfrageforschung× | |
|---|---|---|
| Fachgebiet | Forschungsdesign | Forschungsdesign |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | Mid-20th century onward | Late 19th century; methodologically systematised 1940s–1960s |
| Urheber≠ | Rooted in survey methodology traditions; codified by Fraenkel, Wallen, and Creswell among others | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Typ≠ | Non-experimental quantitative design | Quantitative (and mixed) non-experimental design |
| Wegweisende Quelle≠ | Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0078097706 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Aliasnamen | cross-sectional correlational survey, one-time relational survey, cross-sectional associational survey, single-occasion relational survey | survey methodology, questionnaire research, survey design, survey study |
| Verwandt | 4 | 4 |
| Zusammenfassung≠ | A cross-sectional relational survey collects data from a representative sample at a single point in time and examines the statistical relationships (correlations, associations, predictions) among two or more variables. It combines the temporal efficiency of cross-sectional design with the relational focus of correlational survey research, making it one of the most widely used quantitative designs in education, social science, and health research when a quick, population-level picture of variable relationships is needed. | 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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