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验证性因子分析 (CFA)×潜增长曲线模型 (LGC)×
领域统计学统计学
方法族Latent structureLatent structure
起源年份19691990
提出者Karl JöreskogMeredith & Tisak
类型Confirmatory latent variable modelLatent variable / longitudinal growth model
开创性文献Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗
别名Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement modellatent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli
相关45
摘要Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.The 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.
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ScholarGate方法对比: CFA · LGC Model. 于 2026-06-19 检索自 https://scholargate.app/zh/compare