Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Pētījumi ar paneļveida korelatīvo dizainu× | ANOVA ar atkārtotiem mērījumiem× | |
|---|---|---|
| Nozare≠ | Pētījuma dizains | Statistika |
| Saime≠ | Process / pipeline | Hypothesis test |
| Izcelsmes gads≠ | 1970s–1980s (formal panel analysis methods) | 1992 |
| Autors≠ | Panel methodology systematized by economists and sociologists, notably Kessler & Greenberg (1981) and Cheng Hsiao (1986) | Girden (textbook treatment); Field (2013) |
| Tips≠ | Quantitative observational design | Parametric within-subjects mean comparison |
| Pirmavots≠ | Kessler, R. C., & Greenberg, D. F. (1981). Linear Panel Analysis: Models of Quantitative Change. Academic Press. ISBN: 9780124053502 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Citi nosaukumi | panel correlational study, longitudinal correlational panel, panel survey research, repeated-measures correlational design | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Saistītās≠ | 3 | 4 |
| Kopsavilkums≠ | Panel-based correlational research follows the same individuals, organizations, or units across multiple time points and quantifies associations among variables within that longitudinal structure. Unlike a one-shot correlational survey, the panel design captures temporal ordering and within-unit change, enabling researchers to test whether earlier values of one variable predict later values of another while statistically controlling for stable individual differences. | Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013). |
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