Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Utafiti wa Utafiti wa Paneli× | Utafiti wa Utafiti× | |
|---|---|---|
| Nyanja | Muundo wa Utafiti | Muundo wa Utafiti |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | Mid-20th century; formalized as a distinct design by the 1940s–1960s in sociological and economic research | Late 19th century; methodologically systematised 1940s–1960s |
| Mwanzilishi≠ | 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 |
| Aina≠ | Quantitative longitudinal observational design | Quantitative (and mixed) non-experimental design |
| Chanzo asilia≠ | 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 |
| Majina mbadala | panel survey, longitudinal survey panel, repeated survey design, panel data survey | survey methodology, questionnaire research, survey design, survey study |
| Zinazohusiana≠ | 5 | 4 |
| Muhtasari≠ | 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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