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

Columns

cov_agecov_average_highcov_days_per_weekcov_educationcov_gendercov_racecov_source_surveycov_use_per_monthiditemresp

Get the data

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

Or load it directly in R or Python:

# 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")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0