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مدل منحنی رشد پنهان (LGC)×مدل‌سازی معادلات ساختاری (SEM)×
حوزهآمارآمار
خانوادهLatent structureLatent structure
سال پیدایش19901970
پدیدآورMeredith & TisakKarl Jöreskog (LISREL framework, 1970s)
نوعLatent variable / longitudinal growth modelLatent variable / causal modeling
منبع بنیادینMeredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
نام‌های دیگرlatent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi ModeliYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
مرتبط55
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.Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.
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ScholarGateمقایسهٔ روش‌ها: LGC Model · SEM. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare