Confirmatory Factor Analysis split - Insomnia negative affect and paranoia
datasetposted on 30.08.2017 by Alexander Scott
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Our full dataset was randomly split in half, we conducted an exploratory factor analysis (EFA) on one half of the dataset and a confirmatory factor analysis (CFA) on the other.
This dataset represents the confirmatory factor analysis dataset and forms the basis of the CFA presented in the PLoS paper: Scott, A.J., Rowse, G. and Webb, T.L. (2017) A structural equation model of the relationship between insomnia, negative affect, and paranoid thinking. PLoS One, 12 (10). e0186233. DOI:10.1371/journal.pone.0186233