AI Technology panic-is AI Dependence Bad for Mental Health? A Cross-Lagged Panel Model and the Mediating Roles of Motivations for AI Use Among Adolescents. [PDF]
Huang S +7 more
europepmc +1 more source
From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM) [PDF]
This is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data in a structural equation modeling (SEM) framework.
Michael J Zyphur +2 more
exaly +11 more sources
Maximum Likelihood for Cross-lagged Panel Models with Fixed Effects [PDF]
Panel data make it possible both to control for unobserved confounders and allow for lagged, reciprocal causation. Trying to do both at the same time, however, leads to serious estimation difficulties. In the econometric literature, these problems have been solved by using lagged instrumental variables together with the generalized method of moments ...
Paul D Allison, , Enrique Moral-Benito
exaly +2 more sources
Impact of violations of measurement invariance in cross-lagged panel mediation models [PDF]
When fitting cross-lagged panel mediation models, the assumption of longitudinal measurement invariance should be made. This simulation study investigated the impact of violations of measurement invariance on cross-lagged panel mediation analysis using the latent cross-lagged panel mediation model (L-CLPM).
Qian Zhang, Yanyun Yang
exaly +3 more sources
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Measures of Dependence for Cross-Lagged Panel Models
Sociological Methods & Research, 1988Panel studies are statistical studies in which two or more responses are measured for two or more individuals, or other sampling units, at two or more waves, or points in time. Typically the number of responses and the number of waves are small but the number of subjects is large.
LAWRENCE S. MAYER, STEVEN S. CARROLL
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On the Practical Interpretability of Cross-Lagged Panel Models: Rethinking a Developmental Workhorse
Child Development, 2017Abstract Reciprocal feedback processes between experience and development are central to contemporary developmental theory. Autoregressive cross-lagged panel (ARCL) models represent a common analytic approach intended to test such dynamics.
Daniel, Berry, Michael T, Willoughby
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A single-level random-effects cross-lagged panel model for longitudinal mediation analysis
Cross-lagged panel models (CLPMs) are widely used to test mediation with longitudinal panel data. One major limitation of the CLPMs is that the model effects are assumed to be fixed across individuals.
Po-Yi Chen
exaly +2 more sources
Equivalent Approaches in Cross-Lagged Panel Models?
2020Article comparing and contrasting competing approaches to dealing with unobserved time-invariant heterogeneity in cross-lagged panel models using structural equation ...
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On Cross-Lagged Panel Models With Serially Correlated Errors
Journal of Business & Economic Statistics, 1986Cross-lagged panel studies are studies in which two or more variables are measured for a large number of subjects at each of several points in time. The variables divide naturally into two sets, and the purpose of the analysis is to estimate and test the cross-effects between the two sets.
openaire +1 more source
Cross-lagged panel modeling with binary and ordinal outcomes.
Psychological MethodsTo date, cross-lagged panel modeling has been studied only for continuous outcomes. This article presents methods that are suitable also when there are binary and ordinal outcomes. Modeling, testing, identification, and estimation are discussed.
Bengt, Muthén +2 more
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