Comparer des méthodes

	Recherche corrélationnelle sur données de panel	ANOVA à mesures répétées
Domaine	Conception de la recherche	Statistique
Famille	Process / pipeline	Hypothesis test
Année d'origine	1970s–1980s (formal panel analysis methods)	1992
Auteur d'origine	Panel methodology systematized by economists and sociologists, notably Kessler & Greenberg (1981) and Cheng Hsiao (1986)	Girden (textbook treatment); Field (2013)
Type	Quantitative observational design	Parametric within-subjects mean comparison
Source fondatrice	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
Alias	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
Apparentées	3	4
Résumé	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).