environment_ltm

1,746 responses from 291 respondents to 6 items.

One of 4 tables from the same source; this one measures British Social Attitudes Survey, 1990. The others are listed under Related tables.

About this table

DescriptionAttitude towards the environment
ReferenceBrook, L., Taylor, B. and Prior, G. (1991) British Social Attitudes, 1990, Survey. London: SCPR.
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/ltm/index.html

Size and shape

Responses1,746
Respondents291
Items6
Response categories3
Responses per respondent6
Responses per item291
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatConstructed Response
construct nameBritish Social Attitudes Survey, 1990

Item text

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

InstrumentEnvironment section, British Social Attitudes Survey 1990 (ltm package `Environment` data set)
Mean words per item4.333
Mean characters per item29.500
Mean characters per response16.667
Flesch-Kincaid grade level8.338

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
resp_rawIRW standard The response as originally recorded, where resp holds a scored or recoded version of it — the letter a candidate marked (A–E), an option label, a categorical string.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("environment_ltm")
# Python
pip install irw

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

How to cite

@book{brook1991british,
  title={British Social Attitudes, 1990, Survey},
  author={Brook, L. and Taylor, B. and Prior, G.},
  year={1991},
  publisher={SCPR},
  address={London},
  url={https://cran.r-project.org/web/packages/ltm/index.html}
}

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