Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Дослідження когорт на основі панельних даних× | Дослідження шляхом опитування× | |
|---|---|---|
| Галузь | Дизайн дослідження | Дизайн дослідження |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | Mid-20th century (formalized ~1950s–1970s) | Late 19th century; methodologically systematised 1940s–1960s |
| Автор методу≠ | Developed through convergence of epidemiological cohort methodology and social science panel survey traditions | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Тип≠ | Quantitative longitudinal observational design | Quantitative (and mixed) non-experimental design |
| Основоположне джерело≠ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. ISBN: 978-1107038691 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Інші назви | panel cohort study, longitudinal panel cohort, cohort panel design, panel longitudinal study | survey methodology, questionnaire research, survey design, survey study |
| Пов'язані≠ | 3 | 4 |
| Підсумок≠ | Panel-based cohort research is a longitudinal observational design that follows a defined group of individuals — the cohort — across multiple repeated measurement waves, collecting structured quantitative data at each wave. It merges the epidemiological strength of cohort tracking (a group sharing a common characteristic or entry point) with the panel study convention of standardized, repeated-contact data collection. The design enables analysis of change over time within individuals while supporting causal inference about exposure-outcome relationships. | 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. |
| ScholarGateНабір даних ↗ |
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