23,550 responses from 471 respondents to 50 items.
| Description | Gender-related activities survey |
|---|---|
| Reference | Gruber, Freya M. and Distlberger, Eva and Scherndl, Thomas and Ortner, Tuulia M. and Pletzer, Belinda (2020) Psychometric properties of the multifaceted Gender-Related Attributes Survey (GERAS) European Journal of Psychological Assessment, 36, (4) 612-623. |
| DOI | 10.1027/1015-5759/a000528 |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/psychTools/index.html |
| Responses | 23,550 |
|---|---|
| Respondents | 471 |
| Items | 50 |
| Response categories | 5 |
| Responses per respondent | 50 |
| Responses per item | 471 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, General/non-specific |
| construct type | Behavioral, Cognitive/educational, Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
| construct name | Gender-related activities survey |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Gender-related activities survey |
|---|---|
| Mean words per item | 2.740 |
| Mean characters per item | 17.500 |
| Mean characters per response | 3.646 |
| Flesch-Kincaid grade level | 53.393 |
cov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("psychtools_geras")
# Python
pip install irw
import irw
df = irw.fetch("psychtools_geras")
| 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 |