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Modeli wa Mchanganyiko wa Ukuaji (GMM)

Modeli wa Mchanganyiko wa Ukuaji (Growth Mixture Model - GMM), ulioanzishwa na Muthén na Shedden mwaka 1999, ni mbinu ya kimfumo ya kutofautisha kwa muda (longitudinal latent variable method) inayotambua vikundi tofauti vya watu wengi — madaraja ya njia za ukuaji zilizofichwa (latent trajectory classes) — ambapo kila kundi hufuata mlinganyo wake wa ukuaji kwa muda. Inapanua modeli ya kawaida ya Mlinganyo wa Ukuaji Uliofichwa (Latent Growth Curve - LGC) kwa kuruhusu sampuli kuwa na mchanganyiko usiojulikana wa madaraja yenye vipengele mbalimbali vya mwanzo (intercepts), miteremko (slopes), na miundo ya utofauti (variance structures).

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  1. Muthén, B. O. & Shedden, K. (1999). Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm. Biometrics, 55(2), 463–469. DOI: 10.1111/j.0006-341x.1999.00463.x

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ScholarGate. (2026, June 1). Growth Mixture Model. ScholarGate. https://scholargate.app/sw/statistics/growth-mixture-model

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ScholarGateGMM (Growth Mixture Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/growth-mixture-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026