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Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.

Badania podłużne z testowaniem hipotez×Jednoczynnikowa ANOVA z powtarzanymi pomiarami×
DziedzinaProjektowanie badańStatystyka
RodzinaProcess / pipelineHypothesis test
Rok powstaniaConsolidated as a formal design framework in the 1960s–1980s1992
TwórcaSynthesized from longitudinal design traditions (Lazarsfeld, 1940s) and classical hypothesis testing (Fisher, Neyman-Pearson, 1920s–1930s)Girden (textbook treatment); Field (2013)
TypQuantitative longitudinal research designParametric within-subjects mean comparison
Źródło pierwotneSinger, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. ISBN: 978-0195152968Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
Inne nazwylongitudinal confirmatory study, repeated-measures hypothesis testing, prospective hypothesis testing, longitudinal inferential researchwithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
Pokrewne54
PodsumowanieLongitudinal hypothesis testing research combines a longitudinal design — measuring the same units repeatedly over time — with formal null-hypothesis significance testing to determine whether observed changes exceed what chance alone can explain. It is widely used in education, medicine, psychology, and social science to test directional predictions about change, stability, or group differences that emerge over a defined time span.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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ScholarGatePorównaj metody: Longitudinal Hypothesis Testing Research · Repeated-measures ANOVA. Pobrano 2026-06-18 z https://scholargate.app/pl/compare