This Repo documents the R pipelines to conduct a theory-driven approach for fitting new measurement models to data from large cohort studies, and evaluating their psychometric properties. This aims to help researchers develop an empirical understanding of the gains and limitations connected with the process of re-purposing the data stored in these datasets.
This documentation complement the following focus article
This paper aims to encourage exploration of existing longitudinal cohor studies; to support researchers to make explicit the relationships between items in the databases and constructs of interest in pain research; and to use empirical methods to estimate the possible biases in these variables.
The Supplementary material includes a line-by-line description of the codebase with relevant references.
We suggest to use Rstudio to clone this repository as a new "version control" project. Documentation on how to do this is available on github.
Alternatively, it is possible to simply visualise the paper's supplementary material in the browser following these links: