方法对比

	Latent Transition Analysis	偏最小二乘结构方程模型
领域	心理测量学	心理测量学
方法族	Latent structure	Latent structure
起源年份	2002	1985
提出者	Linda M. Collins, Stephanie T. Lanza	Herman Wold
类型	Markovian transition between latent states	Component-based structural equation model
开创性文献	Collins, L. M., & Lanza, S. T. (2010). Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences. Wiley. ISBN: 9780470228395	Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications. ISBN: 9781483377445
别名	LTA	PLS-SEM, PLS path modeling
相关	4	5
摘要	Latent Transition Analysis (LTA) is a method for studying transitions between latent classes over time, developed by Collins and Lanza (2010). LTA combines latent class analysis (grouping individuals into classes) with Markovian transition models to understand how people move between qualitatively distinct states across time periods.	PLS-SEM is a variance-based approach to structural equation modeling developed by Herman Wold (1985) that estimates latent variable models by maximizing the variance explained in dependent variables. Unlike covariance-based SEM, PLS-SEM is particularly useful for exploratory research, small to medium samples, complex models with many constructs, and non-normal data.