autonomysupport_mokken

1,813 responses from 14 respondents to 7 items.

About this table

DescriptionAutonomy support ratings of teachers by students
ReferenceKoopman, 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.
DOI10.1111/bmsp.12174
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/mokken/index.html

Size and shape

Responses1,813
Respondents14
Items7
Response categories5
Responses per respondent129.500
Responses per item259
Density18.500
LongitudinalFALSE

Classification

age rangeChild (<18y)
sampleEducational
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)dut
construct nameAutonomy support ratings of teachers by students

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentDutch Autonomy Support questionnaire (7-item subset)
Mean words per item9.676
Mean characters per item45.794
Mean characters per response7.353
Flesch-Kincaid grade level2.602

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, mokken.R. 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).made in the build script
itemIRW standard Item identifier.made in the build script
raterIRW standard Observer identifier in scenarios where items are rated by an external observer rather than self-reported.i
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the package’s documentation, mokken::autonomySupport.

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("autonomysupport_mokken")
# Python
pip install irw

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

How to cite

@article{Koopman_2019, title={Standard errors of two‐level scalability coefficients}, volume={73}, ISSN={2044-8317}, url={http://dx.doi.org/10.1111/bmsp.12174}, DOI={10.1111/bmsp.12174}, number={2}, journal={British Journal of Mathematical and Statistical Psychology}, publisher={Wiley}, author={Koopman, Letty and Zijlstra, Bonne J. H. and van der Ark, L. Andries}, year={2019}, month=jun, pages={213–236} }

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0