loi_2018_pos

3,440 responses from 215 respondents to 16 items.

One of 5 tables from the same source; this one measures Perceived organisational support. The others are listed under Related tables.

About this table

DescriptionPerceived organisational support ("the organisation" = the school), 16 items (1-7); N = 215 NSW secondary teachers; cov_* as for loi_2018_workload_increase.
ReferenceLoi, N., Lawrence, D. F., & Gudex, B. W. (2018). Work intensification and burnout in secondary teachers [data]. figshare. https://doi.org/10.6084/m9.figshare.6114659
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/Work_intensification_and_burnout_in_secondary_teachers/6114659

Size and shape

Responses3,440
Respondents215
Items16
Response categories7
Responses per respondent16
Responses per item215
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleWorkplace
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct namePerceived organisational support

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_birth_yearCovariate not traced
cov_currently_teachingCovariate not traced
cov_employerCovariate not traced
cov_employmentCovariate not traced
cov_genderCovariate not traced
cov_klaCovariate not traced
cov_managementCovariate not traced
cov_years_teachingCovariate not traced

What item codes and covariate 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("loi_2018_pos")
# Python
pip install irw

import irw
df = irw.fetch("loi_2018_pos")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.6114659,
  doi = {10.6084/M9.FIGSHARE.6114659},
  url = {https://figshare.com/articles/Work_intensification_and_burnout_in_secondary_teachers/6114659},
  author = {Loi, Natasha and Lawrence, David F and Gudex, Boyd W.},
  keywords = {Applied Psychology, 170107 Industrial and Organisational Psychology, FOS: Psychology, FOS: Psychology},
  title = {Work intensification and burnout in secondary teachers},
  publisher = {figshare},
  year = {2018},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_7 v1.1
Redivis dataset DOI10.57761/7pd3-sh31
Manifest pin for this IRW versionv1.0
Metadata sourceirw_meta v44.0