Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Radas Panel× | Reka Bentuk Kajian Tinjauan× | |
|---|---|---|
| Bidang | Reka Bentuk Penyelidikan | Reka Bentuk Penyelidikan |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1970s-1980s (econometric formalization); earlier social survey use from 1940s | Late 19th century; methodologically systematised 1940s–1960s |
| Pengasas≠ | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Jenis≠ | Quantitative longitudinal observational design | Quantitative (and mixed) non-experimental design |
| Sumber perintis≠ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Alias | panel study, panel survey, longitudinal panel, repeated-measures panel | survey methodology, questionnaire research, survey design, survey study |
| Berkaitan≠ | 3 | 4 |
| Ringkasan≠ | Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time. | 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. |
| ScholarGateSet data ↗ |
|
|