# Continuous Time Modeling of the Cross-Lagged Panel Design

@inproceedings{Oud2002ContinuousTM, title={Continuous Time Modeling of the Cross-Lagged Panel Design}, author={Johan H. L. Oud}, year={2002} }

Since Newton (1642-1727) continuous time modeling by means of differential equations is
the standard approach of dynamic phenomena in natural science. [... ] Key Result Educational research data illustrate and evaluate continuous time modeling of cross-lagged effects by means of different models and methods using SEM. Expand

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## 35 Citations

Continuous time structural equation modeling with R package ctsem

- Mathematics
- 2017

We introduce ctsem, an R package for continuous time structural equation modeling of panel (N > 1) and time series (N = 1) data, using full information maximum likelihood. Most dynamic models (e.g.,…

Drawing Conclusions from Cross-Lagged Relationships: Re-Considering the Role of the Time-Interval

- Business
- 2018

The cross-lagged panel model (CLPM), a discrete-time (DT) SEM model, is frequently used to gather evidence for (reciprocal) Granger-causal relationships when lacking an experimental design. However,…

Meta-analysis of Lagged Regression Models: A Continuous-time Approach

- SociologyStructural Equation Modeling: A Multidisciplinary Journal
- 2019

A new meta-analysis method (CTmeta) is introduced which assumes an underlying continuous-time process, and is compared with current practice to introduce, describe, and illustrate this method.

Dynamic structural equation models: Estimation and interference.

- Computer Science
- 2007

A unifying theoretical framework for the analysis of dynamic structural equation models in which some or all variables might be unobservable (latent) or measured with error is proposed and such methods can be used to improve measurement of latent variables and to obtain more accurate forecasts.

Bayesian Estimation of a Continuous-Time Model for Discretely-Observed Panel Data

- Computer Science
- 2014

The purpose of this project was to outline a Bayesian implementation of the EDM with non-informative priors and compare its performance to two frequentist approaches—EDM-SEM and Oversampling—under proper model specification and variable experimental conditions.

SEM state space modeling of panel data in discrete and continuous time and its relationship to traditional state space modeling

- Economics
- 2004

The state space approach, introduced by Kalman (1960) and Zadeh and Desoer (1963), distinguishes modern systems and control theory (Cames, 1988; Hannan & Deistler, 1988; Polderman & Willems, 1998)…

Continuous‐time modelling of irregularly spaced panel data using a cubic spline model

- Mathematics
- 2008

Continuous‐time modelling remains a somewhat ‘idealized’ representation tool. Even though conceptualizing a dynamic process as a continuous process has clear appeal from a theoretical standpoint,…

Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data

- Computer ScienceFront. Psychol.
- 2017

It is found that the size and the direction of the bias in DT (V)AR models for unequally spaced ESM data depend quite strongly on the true parameter in addition to data characteristics, which is a problem for discrete-time (DT) modeling approaches.

Evaluating Causal Dominance of CTmeta-Analyzed Lagged Regression Estimates

- SociologyStructural Equation Modeling: A Multidisciplinary Journal
- 2021

ABSTRACT Meta-analysis techniques allow researchers to aggregate effect sizes, like standardized regression estimates, of different studies. Recently, continuous-time meta-analysis (CTmeta) has been…

A Continuous-Time Mixture Latent-State-Trait Markov Model for Experience Sampling Data: Application and Evaluation

- Mathematics, Psychology
- 2017

In psychological research, statistical models of latent state-trait (LST) theory are popular for the analysis of longitudinal data. We identify several limitations of available models when applied to…

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