Cross-lagged network models

Mijke Rhemtulla, Riet van Bork, A.O.J. Cramer

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Network models for psychological constructs are becoming increasingly popular as an alternative to latent variable models for representing psychological constructs. We show how these models may be combined with crosslagged panel models to reveal longitudinal processes that occur within and across constructs over time. The proposed crosslagged network model uses regularized regression estimation to discover autoregressive and crosslagged pathways that characterize the effects of observed components of psychological constructs on each other over time. After describing the model we demonstrate its application to longitudinal data on students’ commitment to school and selfesteem.
Original languageEnglish
JournalMultivariate Behavioral Research
Publication statusAccepted/In press - 2020

Fingerprint Dive into the research topics of 'Cross-lagged network models'. Together they form a unique fingerprint.

  • Cite this

    Rhemtulla, M., van Bork, R., & Cramer, A. O. J. (Accepted/In press). Cross-lagged network models. Multivariate Behavioral Research. https://osf.io/r24q6/