erguvan_2022_questionnaire
11,950 responses from 478 respondents to 25 items.
About this table
| Description | Rasch gender analysis. IRW table erguvan_2022_questionnaire: 478 respondents x 25 items, 11950 responses. |
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| Reference | Erguvan, I. (2022). Rasch gender analysis. Mendeley Data, V1. |
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| Licence | CC BY 4.0 |
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| Source data | https://data.mendeley.com/datasets/4sn3936svj |
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Size and shape
| Responses | 11,950 |
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| Respondents | 478 |
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| Items | 25 |
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| Response categories | 5 |
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| Responses per respondent | 25 |
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| Responses per item | 478 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| sample | Educational |
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| measurement tool | Survey/questionnaire |
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Columns
cov_gendercov_majorcov_year_of_studyiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("erguvan_2022_questionnaire")
# Python
pip install irw
import irw
df = irw.fetch("erguvan_2022_questionnaire")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_5 v4.0 |
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| Redivis dataset DOI | 10.57761/yvjw-0981 |
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| Manifest pin for this IRW version | v4.0 |
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| Metadata source | irw_meta v23.0 |
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