Confronta i metodi
Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Ricerca Descrittiva Basata su Panel× | Ricerca tramite sondaggio× | |
|---|---|---|
| Campo | Disegno della ricerca | Disegno della ricerca |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1940s–1960s | Late 19th century; methodologically systematised 1940s–1960s |
| Ideatore≠ | Developed within survey methodology and social science panel traditions (Lazarsfeld, Kish, and others) | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Tipo≠ | Quantitative observational research design | Quantitative (and mixed) non-experimental design |
| Fonte seminale≠ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922827 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Alias | descriptive panel study, panel survey descriptive design, repeated cross-sectional descriptive panel, panel descriptive research | survey methodology, questionnaire research, survey design, survey study |
| Correlati | 4 | 4 |
| Sintesi≠ | Panel-based descriptive research follows the same set of individuals, households, or organizations across multiple time points and uses that repeated-measures structure to describe how variables, distributions, and patterns change over time — without imposing an experimental manipulation or testing causal hypotheses. It is distinguished from cross-sectional descriptive research by its capacity to document intra-individual change, and from explanatory panel research by its goal of accurate description rather than causal modelling. | 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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