4,557 responses from 30 respondents to 7 items.
| Description | Well-being scale from students about teachers |
|---|---|
| Reference | Zijsling, D., Keuning, J., Keizer-Mittelhaeuser, M.-A., Naaijer, H., & Timmermans, A. (2017). Cohortonderzoek COOL5-18: Technisch rapport meting VO-3 in 2014. Onderwijs/Onderzoek |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/mokken/index.html |
| Responses | 4,557 |
|---|---|
| Respondents | 30 |
| Items | 7 |
| Response categories | 5 |
| Responses per respondent | 151.900 |
| Responses per item | 651 |
| Density | 21.700 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
| construct name | Scale Well-Being With Teachers |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Well-being scale from students about teachers |
|---|---|
| Mean words per item | 7.714 |
| Mean characters per item | 40.429 |
| Mean characters per response | 7.200 |
| Flesch-Kincaid grade level | 4.244 |
iditemraterresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("swmd_mokken")
# Python
pip install irw
import irw
df = irw.fetch("swmd_mokken")
| 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 |