580 responses from 145 respondents to 4 items.
One of 6 tables from the same source; this one is the teacher_warmth table. The others are listed under Related tables.
| Description | Teachers' beliefs about warmth vs authority in the classroom, 1-4. 145 respondents x 4 items = 580 responses. |
|---|---|
| Reference | Alan, S., Ertac, S., & Mumcu, I. (2018). Replication Data for: Gender Stereotypes in the Classroom and Effects on Achievement [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/FGBZCK |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/FGBZCK |
| Responses | 580 |
|---|---|
| Respondents | 145 |
| Items | 4 |
| Response categories | 4 |
| Responses per respondent | 4 |
| Responses per item | 145 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, alan_2018_gender_stereotypes.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_degree | Covariate | ts_4 |
cov_male | Covariate | male |
cov_qualification | Covariate 1 = sinif ogretmenligi · 2 = linguistic · 3 = sciences · 4 = social sciences · 5 = other | qual |
cov_tenured | Covariate | ts_3 |
cov_years_experience | Covariate | ts_2 |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the source’s README, readme.pdf.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("alan_2018_teacher_warmth")
# Python
pip install irw
import irw
df = irw.fetch("alan_2018_teacher_warmth")
@misc{https://doi.org/10.7910/dvn/fgbzck,
doi = {10.7910/DVN/FGBZCK},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FGBZCK},
author = {Alan, Sule and Ertac, Seda and Mumcu, Ipek},
keywords = {Social Sciences},
title = {Replication Data for: "Gender Stereotypes in the Classroom and Effects on Achievement"},
publisher = {Harvard Dataverse},
year = {2018}
}
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |