Mental health symptom profiles data

Source: R/tan2023.R

Mental health data used in Tan, et al. (2023).

tan2023

Format

A list of binary responses and Q-matrix with components:

dat

Responses of 719 students to 40 items.

Q

The \(40 \times 4\) Q-matrix.

Details

The data consists of dichotomized responses of 719 college students (34.6% men, 83.9% White, and 16.3% first-year students) to 40 items that measure four attributes.

References

Ma, W., & de la Torre, J. (2020). GDINA: An R Package for Cognitive Diagnosis Modeling. Journal of Statistical Software, 93(14), 1-26.

Tan, Z., de la Torre, J., Ma, W., Huh, D., Larimer, M. E., & Mun, E. Y. (2023). A Tutorial on Cognitive Diagnosis Modeling for Characterizing Mental Health Symptom Profiles Using Existing Item Responses. Prevention science : the official journal of the Society for Prevention Research, 24, 480–492. https://doi.org/10.1007/s11121-022-01346-8

Examples

if (FALSE) { # \dontrun{
mod1 <- GDINA(tan2023$dat,tan2023$Q)
mod1
summary(mod1)
} # }