1,813 responses from 14 respondents to 7 items.
| Description | Autonomy support ratings of teachers by students |
|---|---|
| Reference | Koopman, L., Zijlstra, B. J., & van der Ark, L. A. (2020). Standard errors of two‐level scalability coefficients. British Journal of Mathematical and Statistical Psychology, 73(2), 213-236. |
| DOI | 10.1111/bmsp.12174 |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/mokken/index.html |
| Responses | 1,813 |
|---|---|
| Respondents | 14 |
| Items | 7 |
| Response categories | 5 |
| Responses per respondent | 129.500 |
| Responses per item | 259 |
| Density | 18.500 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| sample | Educational |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
| construct name | Autonomy support ratings of teachers by students |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Dutch Autonomy Support questionnaire (7-item subset) |
|---|---|
| Mean words per item | 9.676 |
| Mean characters per item | 45.794 |
| Mean characters per response | 7.353 |
| Flesch-Kincaid grade level | 2.602 |
iditemraterresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("autonomysupport_mokken")
# Python
pip install irw
import irw
df = irw.fetch("autonomysupport_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 |