goldberg_2018_prs_tv_preferences

24,456 responses from 731 respondents to 34 items.

One of 10 tables from the same source; this one is the tv_preferences table. The others are listed under Related tables.

About this table

DescriptionPersonal Reactions Survey (ESCS), preference ratings for 34 kinds of television. resp 1-7. 731 respondents x 34 items = 24456 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/XJ6MXH

Size and shape

Responses24,456
Respondents731
Items34
Response categories7
Responses per respondent33.456
Responses per item719.294
Density0.984
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.

InstrumentPersonal Reactions Survey: Leisure Preferences - TELEVISION PROGRAMS
Mean words per item2.029
Mean characters per item13.265
Mean characters per response16.429
Flesch-Kincaid grade level8.016

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_prs_tv_preferences")
# Python
pip install irw

import irw
df = irw.fetch("goldberg_2018_prs_tv_preferences")

How to cite

@misc{https://doi.org/10.7910/dvn/xj6mxh,
  doi = {10.7910/DVN/XJ6MXH},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/XJ6MXH},
  author = {Goldberg, Lewis R.},
  keywords = {Social Sciences},
  title = {(26) Personal Reactions Survey (PRS)},
  publisher = {Harvard Dataverse},
  year = {2018}
}

Version and provenance

IRW versionv569
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