altman_2020_capq

76,683 responses from 4,053 respondents to 19 items.

About this table

Description19-item Cannabis-Associated Problems Questionnaire (CAPQ), 0-5 frequency scale, 4,053 cannabis-using adults. 4053 respondents x 19 items = 76683 responses.
ReferenceAltman, B. R. (2020). Data for: Gender-Based Differential Item Functioning in the Cannabis-Associated Problems Questionnaire: A Replication and Extension [Data set]. Mendeley Data. https://doi.org/10.17632/y8wwtmxxzg
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/y8wwtmxxzg

Size and shape

Responses76,683
Respondents4,053
Items19
Response categories6
Responses per respondent18.920
Responses per item4035.947
Density0.996
LongitudinalFALSE

Classification

age rangeAdult (18+)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

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

InstrumentCannabis-Associated Problems Questionnaire (CAPQ)
Mean words per item3.737
Mean characters per item22.684
Mean characters per response36.167
Flesch-Kincaid grade level5.629

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, altman_2020_capq.py. 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).Case
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_average_highCovariate Averagehigh
cov_days_per_weekCovariate Daysperweek
cov_educationCovariate 1 = some high school · 2 = finished high school‎/GED · 3 = some college · 4 = associates degree · 5 = bachelors degree · 6 = some graduate training · 7 = advanced graduate degreeEducation
cov_genderCovariate 1 = male · 2 = femaleGender
cov_raceCovariate 1 = african american · 2 = asian · 3 = caucasian · 4 = hispanic‎/latino · 5 = native american · 6 = other · 7 = mixedRace
cov_source_surveyCovariate 1 = Expected habits · 2 = Vulvodynia · 3 = Savoring · 4 = Cannabis and Behavior · 5 = Eating Disorders · 6 = PMS and PMDD · 7 = Sleep · 8 = MenopauseSurvey
cov_use_per_monthCovariate
15 labelled values1 = less than 1‎/8 ounce · 2 = about 1‎/8 ounce · 3 = about 1‎/4 ounce · 4 = about 1‎/2 ounce · 5 = about 3‎/4 ounce · 6 = about 1 ounce · 7 = about 1 1‎/4 ounce · 8 = about 1 1‎/2 ounce · 9 = about 1 3‎/4 ounce · 10 = about 2 ounces · 11 = about 2 1‎/4 ounces · 12 = about 2‎ 1‎/2 ounces · 13 = about 2 3‎/4 ounces · 14 = about 3 ounces · 15 = more than 3 ounces
Usepermonth

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the codebook released with the source data.

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("altman_2020_capq")
# Python
pip install irw

import irw
df = irw.fetch("altman_2020_capq")

How to cite

@misc{https://doi.org/10.17632/y8wwtmxxzg,
  doi = {10.17632/Y8WWTMXXZG},
  url = {https://data.mendeley.com/datasets/y8wwtmxxzg},
  author = {Altman, Brianna},
  keywords = {Cannabis Abuse},
  title = {Data for: Gender-Based Differential Item Functioning in the Cannabis-Associated Problems Questionnaire: A Replication and Extension},
  publisher = {Mendeley},
  year = {2020}
}

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0