16,537 responses from 719 respondents to 23 items.
| Description | Cognitive Diagnosis Modeling for characterizing mental health symptom profiles, Rutgers Alcohol Problem Index (RAPI) |
|---|---|
| Reference | 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, 24(3), 480-492. |
| DOI | 10.1007/s11121-022-01346-8 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/97bzg6z28h/1 |
| Responses | 16,537 |
|---|---|
| Respondents | 719 |
| Items | 23 |
| Response categories | 5 |
| Responses per respondent | 23 |
| Responses per item | 719 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Behavioral, Physical health/functioning |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Rutgers Alcohol Problem Index (RAPI) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Cognitive Diagnosis Modeling for characterizing mental health symptom profiles, Rutgers Alcohol Problem Index (RAPI) |
|---|---|
| Mean words per item | 9.304 |
| Mean characters per item | 49.348 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | 4.636 |
iditemqmatrix__anqmatrix__apqmatrix__deqmatrix__horesp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cdm_mentalhealth_tan_2023_rapi")
# Python
pip install irw
import irw
df = irw.fetch("cdm_mentalhealth_tan_2023_rapi")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |