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مدل منحنی رشد پنهان (LGC)×ANOVA با اندازه‌گیری‌های مکرر×
حوزهآمارآمار
خانوادهLatent structureHypothesis test
سال پیدایش19901992
پدیدآورMeredith & TisakGirden (textbook treatment); Field (2013)
نوعLatent variable / longitudinal growth modelParametric within-subjects mean comparison
منبع بنیادینMeredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
نام‌های دیگرlatent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeliwithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
مرتبط54
خلاصهThe latent growth curve model is a structural equation modelling approach introduced by Meredith and Tisak (1990) for analysing change over time. It treats each individual's starting point (intercept) and rate of change (slope) as latent variables, simultaneously estimating the average trajectory across the sample and the extent to which individuals differ in their own trajectories.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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ScholarGateمقایسهٔ روش‌ها: LGC Model · Repeated-measures ANOVA. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare