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Recherche par panels sur les tendances×ANOVA à mesures répétées×
DomaineConception de la rechercheStatistique
FamilleProcess / pipelineHypothesis test
Année d'origine1940s–1960s1992
Auteur d'origineEstablished through survey methodology and panel econometrics; foundational contributions by Paul Lazarsfeld (1940s) and later systematized by econometricians including Zvi Griliches and Yair MundlakGirden (textbook treatment); Field (2013)
TypeQuantitative longitudinal observational designParametric within-subjects mean comparison
Source fondatriceMenard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
Aliaspanel trend study, longitudinal panel design, repeated-measures panel survey, panel survey trend analysiswithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
Apparentées34
RésuméPanel-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).
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Panel-based trend research · Repeated-measures ANOVA. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare