73,713 responses from 782 respondents to 97 items.
| Description | Conformity to Masculine Norms Inventory, 97 item labels on a 0-3 scale, female Ecuadorian undergraduates; items 21, 35 and 46 appear as separate Hombre_/Mujer_ wordings because they were administered in two gendered forms. 73,713 responses from 782 respondents on 97 items. |
|---|---|
| Reference | Hernandez Mantilla, G. E., Sancerni Beitia, M. D., & Cortes Tomas, M. T. (2024). Data base: Influence of Gender on Binge Drinking among Female Ecuadorian Undergraduates -- Masculine and Feminine Norms [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13997042 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/13997042 |
| Responses | 73,713 |
|---|---|
| Respondents | 782 |
| Items | 97 |
| Response categories | 4 |
| Responses per respondent | 94.262 |
| Responses per item | 759.928 |
| Density | 0.972 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
cov_age_first_alcoholcov_binge_drinkercov_binge_episodes_6miditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("hernandezmantilla_2024_cmni")
# Python
pip install irw
import irw
df = irw.fetch("hernandezmantilla_2024_cmni")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |