adolescents: Self-schema and depression in adolescents

In jashu/beset: Best Subset Predictive Modeling

Self-schema and depression in adolescents

Description

A dataset containing diffusion model metrics from the self-referent encoding task (SRET) and total counts from the short form of the Children's Depression Inventory (CDI:S).

Usage

adolescents

Format

A data frame with 371 rows and 11 variables:

dep

total depression score from the CDI:S

v.positive

drift rate to positive words

v.negative

drift rate to negative words

zr.positive

relative starting point for positive words

zr.negative

relative starting point for negative words

a

threshold separation

t0

response time constant

d

differences in speed of response execution

szr

intertrial variability of starting point

sv

intertrial variability of drift

st0

intertrial variability of non-decisional components

Details

This is an abridged data set from a study by Dainer-Best et al. (2018) used to illustrate best subset selection with negative binomial models. Complete data from this study can be obtained from the Texas Data Repository.

Source

https://dataverse.tdl.org/api/access/datafile/942

References

Dainer-Best, J., Lee, H. Y., Shumake, J. D., Yeager, D. S., & Beevers, C. G. (2018). Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression. Psychological Assessment. Advance online publication. http://dx.doi.org/10.1037/pas0000602

jashu/beset documentation built on April 20, 2023, 5:28 a.m.