4,660 responses from 233 respondents to 20 items.
| Description | Alcohol use disorder scale |
|---|---|
| Reference | Rousson, V., Trächsel, B., Iglesias, K., & Baggio, S. (2023). Evaluating the cost of simplicity in score building: An example from alcohol research. Plos one, 18(11), e0294671. |
| DOI | 10.1371/journal.pone.0294671 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/collections/Evaluating_the_cost_of_simplicity_in_score_building_An_example_from_alcohol_research/6949991 |
| Responses | 4,660 |
|---|---|
| Respondents | 233 |
| Items | 20 |
| Response categories | 2 |
| Responses per respondent | 20 |
| Responses per item | 233 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Representative, Targeted/specific |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | fre |
| construct name | Alcohol use disorder scale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Alcohol use disorder scale |
|---|---|
| Mean words per item | 7.900 |
| Mean characters per item | 46.150 |
| Mean characters per response | 2.500 |
| Flesch-Kincaid grade level | 7.395 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("alcoholresearch_sumscore")
# Python
pip install irw
import irw
df = irw.fetch("alcoholresearch_sumscore")
| 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 |