Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Έρευνα με Δείγμα Πάνελ× | Έρευνα με διαχρονικές (διαμήκεις) δημοσκοπήσεις× | |
|---|---|---|
| Πεδίο | Ερευνητικός Σχεδιασμός | Ερευνητικός Σχεδιασμός |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | Mid-20th century; formalized as a distinct design by the 1940s–1960s in sociological and economic research | Mid-20th century (formalized ~1950s–1970s) |
| Δημιουργός≠ | Established through social science survey methodology; foundational reference: Kasprzyk et al. (1989) | Survey methodology tradition; codified in social sciences by scholars including W.S. Robinson (1950) and later Scott Menard |
| Τύπος≠ | Quantitative longitudinal observational design | Quantitative observational research design |
| Θεμελιώδης πηγή≠ | Kasprzyk, D., Duncan, G., Kalton, G., & Singh, M. P. (Eds.). (1989). Panel Surveys. Wiley. ISBN: 978-0471617143 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452 |
| Εναλλακτικές ονομασίες | panel survey, longitudinal survey panel, repeated survey design, panel data survey | longitudinal survey study, repeated-measures survey, prospective survey design, panel survey |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | 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. | Longitudinal survey research collects structured questionnaire data from the same individuals (or units) at two or more points in time. Unlike a one-shot cross-sectional survey, this design captures change, stability, and temporal ordering of variables — enabling researchers to track trajectories, test causal sequences, and distinguish cohort effects from aging effects within a quantitative framework. |
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