10,111 responses from 638 respondents to 16 items.
One of 6 tables from the same source; this one measures Cannabis Use Problems Identification Test (CUPIT). The others are listed under Related tables.
| Description | Cannabis Use Problems Identification Test (CUPIT), 16 items, each item on its own published scale (0/1-3 up to 0/1-9); N = 638 cannabis users (all 2,062 completed the DFAQ-CU and CUDIT-R; a 645-person subsample the other measures); cov_age, cov_sex, cov_ethnicity, cov_ppi_deviant. |
|---|---|
| Reference | Cuttler, C., & Spradlin, A. (2017). Measuring cannabis consumption: Psychometric properties of the Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU). PLOS ONE, 12(5), e0178194. https://doi.org/10.1371/journal.pone.0178194 |
| DOI | 10.1371/journal.pone.0178194 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.5045962 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 10,111 |
|---|---|
| Respondents | 638 |
| Items | 16 |
| Response categories | 10 |
| Responses per respondent | 15.848 |
| Responses per item | 631.938 |
| Density | 0.990 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health, Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Cannabis Use Problems Identification Test (CUPIT) |
This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_ethnicity | Covariate | not traced |
cov_ppi_deviant | Covariate | not traced |
cov_sex | Covariate | not traced |
What item codes and covariate values stand for is in the source’s codebook, 8541142.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cuttler_2017_cupit")
# Python
pip install irw
import irw
df = irw.fetch("cuttler_2017_cupit")
@article{Cuttler_2017, title={Measuring cannabis consumption: Psychometric properties of the Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU)}, volume={12}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0178194}, DOI={10.1371/journal.pone.0178194}, number={5}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Cuttler, Carrie and Spradlin, Alexander}, editor={Ito, Etsuro}, year={2017}, month=May, pages={e0178194} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |