cuttler_2017_dfaqcu_freq

14,334 responses from 2,062 respondents to 7 items.

One of 6 tables from the same source; this one measures Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU). The others are listed under Related tables.

About this table

DescriptionDFAQ-CU frequency-format items, 7 items (last use, current and prior frequency, days in past week, days in past month, lifetime uses, hours after waking), ordinal categories 0-12 per item; days in past month a 0-31 count; N = 2,062 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.
ReferenceCuttler, 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
DOI10.1371/journal.pone.0178194
LicenceCC BY 4.0
Source datahttps://doi.org/10.6084/m9.figshare.5045962

Size and shape

Responses14,334
Respondents2,062
Items7
Response categories32
Responses per respondent6.952
Responses per item2047.714
Density0.993
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleTargeted/specific
construct typeBehavioral
measurement toolSurvey/questionnaire
item formatMixed
primary language(s)eng
construct nameDaily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU)

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentDaily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU), frequency items
Mean words per item12.867
Mean characters per item73.878
Mean characters per response13.551
Flesch-Kincaid grade level8.284

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_ageCovariate not traced
cov_ethnicityCovariate not traced
cov_ppi_deviantCovariate not traced
cov_sexCovariate not traced

What item codes and covariate values stand for is in the source’s codebook, 8541142.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_dfaqcu_freq")
# Python
pip install irw

import irw
df = irw.fetch("cuttler_2017_dfaqcu_freq")

How to cite

@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} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0