18,333 responses from 873 respondents to 21 items.
One of 4 tables from the same source; this one is the professional_development table. The others are listed under Related tables.
| Description | Professional development of primary and secondary school teachers (Chen Jingjun et al.), 21 items rated 1-5 across five dimensions: professional sentiment, development actions, professionalization concept, problem-solving skills, and professional knowledge. Responses from 873 primary and secondary school teachers in Guangdong Province, China. |
|---|---|
| Reference | Feng, 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 |
| DOI | 10.1371/journal.pone.0310078 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0310078.s001 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 18,333 |
|---|---|
| Respondents | 873 |
| Items | 21 |
| Response categories | 5 |
| Responses per respondent | 21 |
| Responses per item | 873 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
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.
| 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). | 序号 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate 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_education | Covariate 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_gender | Covariate 1 = 男 · 2 = 女 | 性别 |
cov_locality | Covariate 1 = 农村学校 · 2 = 乡镇学校 · 3 = 县市学校 | 村乡县 |
cov_school_level | Covariate 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_years | Covariate 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.
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_professional_development")
# Python
pip install irw
import irw
df = irw.fetch("feng_2024_professional_development")
@article{Feng2024,
author = {Feng, G. and Shi, K. and Huang, Q. and Ma, J.},
title = {The impact of work values on the professional development of primary and secondary school teachers: A moderated mediation model},
journal = {PLOS ONE},
year = {2024},
volume = {19},
number = {11},
pages = {e0310078},
doi = {10.1371/journal.pone.0310078},
url = {https://doi.org/10.1371/journal.pone.0310078}
}
| IRW version | v569 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v43.0 |