tan2023p50: Mental health symptom profiles data (polytomous data)

In Wenchao-Ma/GDINA: The Generalized DINA Model Framework

Mental health symptom profiles data (polytomous data)

Description

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

Usage

tan2023p50

Format

A list of dichotmous/polytomous responses and Qc-matrix with components:

dat

Responses of 719 students to 40 items.

Qc

The Qc-matrix.

Details

The data consists of polytomous responses of 719 college students (34.6% men, 83.9% White, and 16.3% first-year students) to 40 items that measure four attributes. The item categories were collapsed to make sure each category has at least 50 responses if possible.

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

See Also

tan2023 for binary version of the data and tan2023p25 for polytomous data with each cateogry having 25 or more responses, when possible.

Examples

## Not run: 
mod1 <- GDINA(tan2023p50$dat,tan2023p50$Qc,sequential = TRUE)
mod1
summary(mod1)

## End(Not run)

Wenchao-Ma/GDINA documentation built on June 10, 2025, 11:07 a.m.