Cross-lagged panel analysis is an analytical strategy used to describe reciprocal relationships, or directional influences, between variables over time (Kearney, 2017). The cross-lagged panel model (CLPM) has been extremely popular in behavioral and psychological science research (Usami et al., 2019)...
交叉滞后面板分析（Cross-Lagged Panel Analysis, CLPA）是一种统计方法，它在面板数据分析中用来研究变量之间的动态关系。这种分析方法特别适用于研究时间序列数据和横截面数据的结合体，即面板数据，其中数据集包含了多个个体在多个时间点的观测值。交叉滞后面板分析的目的是检验变量之间的因果关系，特别是当这些变量之间...
Cross-lagged modelLongitudinal studySocial anxiety, which is widely prevalent among Chinese college students, poses a significant barrier to their holistic psychological and physiological development. Although numerous cross-sectional studies have examined the relationship between rumination and social anxiety, ...
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...
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，...
Using a cross-lagged model analysis, the results revealed a significant negative prediction from self-esteem to subsequent anxiety, thereby supporting the vulnerability model. Self-esteem also significantly positively predicted subsequent academic self-efficacy. No reverse effects were found between self-...
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 ...
3)Cross-lagged regression analysis交叉滞后分析 4)Auto-regressive Distributed Lag自回归分布滞后 5)distributed lag regression分布滞后回归 6)autoregressive distributed lag model自回归分布滞后模型 1.Based on the causality theories,factor analysis theories,cointegration analysis,autoregressive distributed lag model ...
Data analysis First, this study used Stata 15.0 to analyze the means, standard deviations, and correlations among the variables of depression, anxiety, and student satisfaction among Chinese university students. Subsequently, the cross-lagged panel model (CLPM) was constructed using Mplus 8.3 to fur...
Although previous research has identified contemporaneous associations between cognitive deficits and symptom phenotypes in Attention Deficit/Hyperactivity Disorder, no studies have as yet attempted to identify direction of effect. The present study used cross-lagged path modeling to examine competing hypotheses...