goldberg_2018_sbo

302,290 responses from 703 respondents to 430 items.

About this table

DescriptionSurvey of Beliefs and Opinions (ESCS). resp 1-5. 703 respondents x 430 items = 302290 responses.
ReferenceGoldberg, L. R. (2018). Eugene-Springfield Community Sample [Data set]. Harvard Dataverse. https://dataverse.harvard.edu/dataverse/ESCS-Data
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/WV5BYC

Size and shape

Responses302,290
Respondents703
Items430
Response categories5
Responses per respondent430
Responses per item703
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

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

InstrumentA Survey of Beliefs and Opinions (SBO)
Mean words per item11.123
Mean characters per item67.026
Mean characters per response39.400
Flesch-Kincaid grade level9.277

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_ageCovariate not traced
cov_educationCovariate not traced
cov_employmentCovariate not traced
cov_ethnicityCovariate not traced
cov_marital_statusCovariate not traced
cov_sexCovariate 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("goldberg_2018_sbo")
# Python
pip install irw

import irw
df = irw.fetch("goldberg_2018_sbo")

How to cite

@misc{https://doi.org/10.7910/dvn/wv5byc,
  doi = {10.7910/DVN/WV5BYC},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/WV5BYC},
  author = {Saucier, Gerard},
  keywords = {Social Sciences},
  title = {(23) Survey of Beliefs and Opinions (SBO)},
  publisher = {Harvard Dataverse},
  year = {2018}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0