feng_2024_work_values

23,571 responses from 873 respondents to 27 items.

One of 4 tables from the same source; this one is the work_values table. The others are listed under Related tables.

About this table

DescriptionTeacher work values scale (Xu Xingchun), 27 items rated 1-5 across seven dimensions: material remuneration, reputation and status, career development, interpersonal relations, organizational management, altruistic dedication, and security and stability. Responses from 873 primary and secondary school teachers in Guangdong Province, China.
ReferenceFeng, G.; Shi, K.; Huang, Q.; Ma, J. (2024). The impact of work values on the professional development of primary and secondary school teachers: A moderated mediation model. PLOS ONE, 19(11), e0310078. https://doi.org/10.1371/journal.pone.0310078
DOI10.1371/journal.pone.0310078
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0310078.s001

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses23,571
Respondents873
Items27
Response categories5
Responses per respondent27
Responses per item873
Density1
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, feng_2024_teacher_work_values.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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).序号
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate 1 = 25岁及以下 · 2 = 26-35岁 · 3 = 36-45岁 · 4 = 46-55岁 · 5 = 56-65岁 · 6 = 66岁以上年龄
cov_educationCovariate 1 = 中专以下 · 2 = 中专 · 3 = 大专 · 4 = 大学本科 · 5 = 硕士及以上学历
cov_genderCovariate 1 = 男 · 2 = 女性别
cov_localityCovariate 1 = 农村学校 · 2 = 乡镇学校 · 3 = 县市学校村乡县
cov_school_levelCovariate 1 = 省级示范学校 · 2 = 市级示范学校 · 3 = 普通学校学校级别
cov_teaching_yearsCovariate 1 = 1年以下 · 2 = 1-3年 · 3 = 3-5年 · 4 = 5-10年 · 5 = 10年以上教龄

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 codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("feng_2024_work_values")
# Python
pip install irw

import irw
df = irw.fetch("feng_2024_work_values")

How to cite

@article{Feng2024,
  author = {Feng, G. and Shi, K. and Huang, Q. and Ma, J.},
  year = {2024},
  title = {The impact of work values on the professional development of primary and secondary school teachers: A moderated mediation model},
  journal = {PLOS ONE},
  volume = {19},
  number = {11},
  pages = {e0310078},
  doi = {10.1371/journal.pone.0310078},
  url = {https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0310078.s001}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v43.0