About this table

Description	Causal Beliefs of Disease
Reference	Goodman, Melody, and Kaphingst, Kimberly. Validation of a Pictorial Racial Composition Measure. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-09-22. https://doi.org/10.3886/E193990V1
Licence	CC BY 4.0
Source data	https://www.openicpsr.org/openicpsr/project/193990/version/V1/view

Size and shape

Responses	43,708
Respondents	573
Items	79
Response categories	2
Responses per respondent	76.279
Responses per item	553.266
Density	0.966
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Targeted/specific
construct type	Opinion/attitude
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Causal Beliefs of Disease

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, coh_goodman_2023.py. 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.

Column	What it is	Source column
IRW standard columns
`id`	IRW 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
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`age`
`cov_age_gp`	Covariate	`age_gp`
`cov_born_in_us`	Covariate	`quest_65a`
`cov_country_of_origin`	Covariate	made in the build script
`cov_country_of_schooling`	Covariate	made in the build script
`cov_education_level`	Covariate	`quest_68`
`cov_employment`	Covariate	`quest_72`
`cov_gender`	Covariate	`quest_61`
`cov_hs_in_stl`	Covariate	`quest_70`
`cov_hs_name`	Covariate	made in the build script
`cov_hs_name_clean`	Covariate	made in the build script
`cov_income`	Covariate	`quest_74`
`cov_location`	Covariate	`location`
`cov_main`	Covariate	`main`
`cov_nvs_cat`	Covariate	`nvs_cat`
`cov_race_cat`	Covariate	`race_cat`
`cov_realm_cat`	Covariate	`realm_cat`

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("coh_goodman_2023_causal_beliefs")

# Python
pip install irw

import irw
df = irw.fetch("coh_goodman_2023_causal_beliefs")

How to cite

@misc{https://doi.org/10.3886/e193990v1,
  doi = {10.3886/E193990V1},
  url = {https://www.openicpsr.org/openicpsr/project/193990/version/V1/view},
  author = {Goodman, Melody and Kaphingst, Kimberly},
  keywords = {racial composition, validation, pictorial measure},
  language = {en},
  title = {Validation of a Pictorial Racial Composition Measure},
  publisher = {ICPSR - Interuniversity Consortium for Political and Social Research},
  year = {2023}
}

Version and provenance

IRW version	v566
Redivis dataset	item_response_warehouse_2 v33.0
Redivis dataset DOI	10.57761/6m04-m698
Manifest pin for this IRW version	v33.0
Metadata source	irw_meta v43.0

coh_goodman_2023_causal_beliefs