The cross-lagged panel model (CLPM) has been extremely popular in behavioral and psychological science research (Usami et al., 2019). 最基本的CLPM如下图所示,对两个变量在两个时间点分别进行了测量,因此,该模型包括了两个X变量(x1,x2)和两个Y变量(y1,y2)。 CLPM估计三种类型的关系 1.[Synchronous...
5. Stata：Stata是另一款广泛使用的统计分析软件，它提供了面板数据分析的功能，可以用于交叉滞后面板分析。6. powRICLPM：这是一个R包，专门用于进行具有随机截距的交叉滞后面板模型（Random Intercepts Cross-Lagged Panel Model, RI-CLPM）分析。7. Python：Python是一种广泛使用的高级编程语言，通过使用SciPy、NumP...
在探索时间序列变量间的复杂交互关系时，交叉滞后面板模型（Cross-Lagged Panel Model, CLPM）显得尤为重要。它不仅关注同步相关、自回归效应，还深入分析了跨时间点的交叉滞后效应。CLPM的核心在于揭示预测性动态，但潜在的挑战在于区分个体间和个体内效应，可能导致混淆。为克服这一局限，Hamaker等人提出的随...
关于多指标随机截距交叉滞后模型(Multiple Indicator Random Intercept Cross-Lagged Panel Model, MI RI-CLPM),在下面这篇文章的“Extension 3: The multiple indicator RI-CLPM”部分有相应介绍,感兴趣的可以仔细阅读一下。 Mulder, J. D., & Hamaker, E. L. (2021). Three Extensions of the Random Intercep...
随机截距交叉滞后模型（Random Intercept Cross-Lagged Panel Model, RI-CLPM）详解随机截距交叉滞后模型（RI-CLPM）是基于传统的交叉滞后面板模型（CLPM）的扩展，它在分析中引入了随机截距，以区分个体间的稳定差异和个体内随时间的变化。RI-CLPM的核心在于控制了同一时间点内变量间的相关性和时间稳定性，...
The cross-lagged panel model (CLPM) is a widely used technique for examining reciprocal causal effects using longitudinal data. Critics of the CLPM have noted that by failing to account for certain person-level associations, estimates of these causal effects can be biased. Because of this, ...
Random Intercept Cross-Lagged Panel Models (RI-CLPM) Mplus Web Talks Web Talk 5:Can Cross-Lagged Panel Modeling Be Relied On to Establish Cross-Lagged Effects?, November 2022. RI-CLPM Theory
一个入门视频,从基础模型到困难模型 自回归 autoregression 交叉滞后 cross lagged 单因子潜增长模型 one-factor latent growth model / one-factor LGM 两因子潜增长模型 two-factor latent growth model / two-factor LGM 随机截距的交叉滞后模型 random intercept cross lagged panel model / RI-CLPM ...
Subsequently, the cross-lagged panel model (CLPM) was constructed using Mplus 8.3 to further explore the cross-effects and predictive relationships among depression, academic self-efficacy, and academic performance of university students through the autoregressive model (M1), the leading model (M2), ...
The cross-lagged panel model (CLPM) was employed to investigate the temporal and directional relationships among these variables.#Among the 381 older patients included, 54.33%, 43.57%, and 7.87% were found to have malnutrition according to the CONUT, GNRI, and PNI scores, respectively. ...