riskcor: Cognitive risk sample correlation matrix

In SEset: Computing Statistically-Equivalent Path Models

Cognitive risk sample correlation matrix

Description

Reported sample correlation matrix from a cross-sectional study on cognitive risk and resilience factors in remitted depression patients, from Hoorelebeke, Marchetti, DE Schryver and Koster (2016). The study was conducted with 69 participants, and the correlation matrix consists of six variables. The variables are as follows:

Usage

data(riskcor)

Format

A 6 by 6 correlation matrix

Details

* 'BRIEF_WM': working memory complaints, a self-report measure of perceived cognitive control * 'PASAT_ACC': PASAT accuracy, performance on behavioural measure of congitive control * 'Adapt ER': self-report adaptive emotion regulation strategies * 'Maladapt ER': self-report maladaptive emotion regulation strategies * 'Resilience': self-report resilience * 'Resid Depress': self-report residual depressive symptoms

Source

<https://ars.els-cdn.com/content/image/1-s2.0-S0165032715313252-mmc1.pdf>

References

\insertRef

hoorelbeke2016interplaySEset

Examples

data(riskcor)
print(rownames(riskcor))
print(riskcor)

SEset documentation built on March 18, 2022, 5:51 p.m.