ME-TSO

Description

This repository contains the code developed to do the empirical analyses of the paper "Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person-Situation Interactions of Psychological Dynamics". The mixed-effects trait-state-occasion model (ME-TSO) is an extension of the multilevel TSO model (Castro-Alvarez et al., 2021; Eid et al., 2017) that allows studying the person-situation interaction effects as in the latent state-trait models for the combination of random and fixed situations (Geiser et al., 2015). Furthermore, the ME-TSO model is encompassed within the dynamic structural equation modeling framework (DSEM; Asparouhov et al. 2018).

Folders and Files Description

• Main.R: Contains the code used to prepare the data, to extract the results from the Mplus output files, and to create the tables and figures included in the paper.
• tso_cluster.R: Contains the code to run the analyses in Mplus within R in parallel on a cluster computer.
• METSO.sh: Is a batch file used to run the analyses on a cluster computer.
• Figures: PDF Figures created in R.
• Mplus
  • Syntaxes: Mplus input files of the models fitted for the empirical example.
  • ResultsFullSample: Mplus output files of the analyses with the complete sample (644 individuals). These results were reported in the article.
  • ResultsStationarySample: Mplus output files of the analyses with the stationary sample (451 individuals). Tables with the unstandardized residuals of these analyses were reported in the supplementary material.
• R: Personalized functions created for these analyses.
  • esmfunctions.R: Set of four functions useful to manipulate intensive longitudinal data. These functions will be included in the esmpack in a future release.
  • metso.var.coeff.R: Function to compute the variance coefficients (both across fixed situations and wihtin fixed situations) of the ME-TSO when there are no additional time-invariant covariates in the model.
• Tables: Text files with the tables in LaTeX format, which were created with the xtable package.

Note

We are not authorized to share the data used for the empirical example. Nonetheless, data can be requested to the Hoegekisnl team.