Date: 2018
Type: Article
Developmental cognitive neuroscience using latent change score models : a tutorial and applications
Developmental cognitive neuroscience, 2018, Vol. 33, pp. 99-117
KIEVIT, Rogier A., BRANDMAIER, Andreas M., ZIEGLER, Gabriel, VAN HARMELEN, Anne-Laura, DE MOOIJ, Susanne M. M., MOUTOUSSIS, Michael, GOODYER, Ian M., BULLMORE, Ed, JONES, Peter, FONAGY, Peter, LINDENBERGER, Ulman, DOLAN, Raymond J., Developmental cognitive neuroscience using latent change score models : a tutorial and applications, Developmental cognitive neuroscience, 2018, Vol. 33, pp. 99-117
- https://hdl.handle.net/1814/59912
Retrieved from Cadmus, EUI Research Repository
Assessing and analysing individual differences in change over time is of central scientific importance to developmental neuroscience. However, the literature is based largely on cross-sectional comparisons, which reflect a variety of influences and cannot directly represent change. We advocate using latent change score (LCS) models in longitudinal samples as a statistical framework to tease apart the complex processes underlying lifespan development in brain and behaviour using longitudinal data. LCS models provide a flexible framework that naturally accommodates key developmental questions as model parameters and can even be used, with some limitations, in cases with only two measurement occasions. We illustrate the use of LCS models with two empirical examples. In a lifespan cognitive training study (COGITO, N = 204 (N = 32 imaging) on two waves) we observe correlated change in brain and behaviour in the context of a high-intensity training intervention. In an adolescent development cohort (NSPN, N = 176, two waves) we find greater variability in cortical thinning in males than in females. To facilitate the adoption of LCS by the developmental community, we provide analysis code that can be adapted by other researchers and basic primers in two freely available SEM software packages (lavaan and Omega nyx).
Additional information:
Available online: 22 November 2017
Cadmus permanent link: https://hdl.handle.net/1814/59912
Full-text via DOI: 10.1016/j.dcn.2017.11.007
ISSN: 1878-9293; 1878-9307
Publisher: Elsevier
Keyword(s): Latent change scores Longitudinal modelling Development Individual differences Structural equation modelling Adolescence Structural equation models White-matter microstructure Growth curve models Covariance structure-analysis Likelihood ratio test Measurement invariance Longitudinal data Old-age Factorial invariance
Sponsorship and Funder information:
Sir Henry Wellcome Trust [107392/Z/15/Z] UK Medical Research Council Programme [MC-A060-5PR61] Wellcome Trust [095844/Z/11/Z] European Union's Horizon 2020 research and innovation programme [732592]
Files associated with this item
- Name:
- Developmental_cognitive_neuros ...
- Size:
- 1.615Mb
- Format:
- Description:
- Full-text in Open Access
Collections
Related items
Showing items related by title, author, creator and subject.
-
Title:Statistical methods for causal analysis in life course research : an illustration of a cross-lagged structural equation model, a latent growth model, and an autoregressive latent trajectories model Author(s):PAKPAHAN, Eduwin
; KRÖGER, Hannes
; HOFFMANN, Rasmus
Date:2017Citation:International journal of social research methodology, 2017, Vol. 20, No. 1, pp. 1-19Type:ArticleAbstract:We present three statistical methods for causal analysis in life course research that are able to take into account the order of events and their possible causal relationship: a cross-lagged model, a latent growth model ...
-
Title:A Vision for the EU Gas Target Model: the MECO-S Model Author(s):GLACHANT, Jean-Michel
Date:2011Type:Working PaperSeries/Number:EUI RSCAS; 2011/38; Florence School of Regulation; EnergyAbstract:The discussion on a target model for European gas network access started at the 18th Madrid Forum in 2010. This model shall provide a unifying vision on the future layout of the European gas market architecture. That ...
-
Title:Nested Models and Model Uncertainty Author(s):KRIWOLUZKY, Alexander; STOLTENBERG, Christian A.Date:2009Type:Working PaperSeries/Number:EUI MWP; 2009/31Abstract:Uncertainty about the appropriate choice among nested models is a central concern for optimal policy when policy prescriptions from those models differ. The standard procedure is to specify a prior over the parameter space ...