Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Recherche par enquête sur panel× | Recherche par enquête× | |
|---|---|---|
| Domaine | Conception de la recherche | Conception de la recherche |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | Mid-20th century; formalized as a distinct design by the 1940s–1960s in sociological and economic research | Late 19th century; methodologically systematised 1940s–1960s |
| Auteur d'origine≠ | Established through social science survey methodology; foundational reference: Kasprzyk et al. (1989) | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Type≠ | Quantitative longitudinal observational design | Quantitative (and mixed) non-experimental design |
| Source fondatrice≠ | Kasprzyk, D., Duncan, G., Kalton, G., & Singh, M. P. (Eds.). (1989). Panel Surveys. Wiley. ISBN: 978-0471617143 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Alias | panel survey, longitudinal survey panel, repeated survey design, panel data survey | survey methodology, questionnaire research, survey design, survey study |
| Apparentées≠ | 5 | 4 |
| Résumé≠ | Panel-based survey research is a quantitative longitudinal design in which the same set of respondents — the panel — is surveyed with structured questionnaires at two or more distinct time points. By tracking the same individuals over time, the design captures intra-individual change, documents how outcomes evolve, and enables stronger causal inference than a single cross-sectional survey can provide. It is widely used in social science, economics, public health, and education research. | 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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