Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Pētījumi par tendencēm, izmantojot paneļus× | ANOVA ar atkārtotiem mērījumiem× | |
|---|---|---|
| Nozare≠ | Pētījuma dizains | Statistika |
| Saime≠ | Process / pipeline | Hypothesis test |
| Izcelsmes gads≠ | 1940s–1960s | 1992 |
| Autors≠ | Established through survey methodology and panel econometrics; foundational contributions by Paul Lazarsfeld (1940s) and later systematized by econometricians including Zvi Griliches and Yair Mundlak | Girden (textbook treatment); Field (2013) |
| Tips≠ | Quantitative longitudinal observational design | Parametric within-subjects mean comparison |
| Pirmavots≠ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| Citi nosaukumi | panel trend study, longitudinal panel design, repeated-measures panel survey, panel survey trend analysis | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| Saistītās≠ | 3 | 4 |
| Kopsavilkums≠ | Panel-based trend research tracks the same group of respondents — the panel — across multiple measurement waves over time, enabling researchers to separate genuine individual-level change from cohort differences and to model how variables evolve within persons. Unlike repeated cross-sectional designs, which sample new participants at each wave, a panel design retains the same units, giving it the power to detect within-person trajectories and causal ordering among variables. | 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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