tan2023p50: Mental health symptom profiles data (polytomous data)

In 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 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)

GDINA documentation built on June 8, 2025, 9:59 a.m.