132,967 responses from 749 respondents to 178 items.
One of 7 tables from the same source; this one measures Personality, Emotions and Attitudes questionnaire, main statement block. The others are listed under Related tables.
| Description | Eugene-Springfield Community Sample dataset 21 (Personality, Emotions, and Attitudes), main block: 178 statements b001-b178 (emotional expressivity, absorption, dissociation and schizotypy-type content) rated 1 very inaccurate to 5 very accurate; N = 749. Covariates from the ESCS demographics file. |
|---|---|
| Reference | Goldberg, L. R. (2018). Eugene-Springfield Community Sample: (21) Personality, Emotions, and Attitudes (PEA) (V1). Harvard Dataverse. https://doi.org/10.7910/DVN/NWYX4N |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/NWYX4N |
| Responses | 132,967 |
|---|---|
| Respondents | 749 |
| Items | 178 |
| Response categories | 5 |
| Responses per respondent | 177.526 |
| Responses per item | 747.006 |
| Density | 0.997 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Personality, Emotions and Attitudes questionnaire, main statement block |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, goldberg_2018_pea.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). | ID |
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_educ | Covariate | EDUC |
cov_employ | Covariate | EMPLOY |
cov_ethnic | Covariate | ETHNIC |
cov_marital | Covariate | MARITAL |
cov_sex | Covariate | SEX |
What item codes and covariate values stand for is in the codebook released with the source data.
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_pea")
# Python
pip install irw
import irw
df = irw.fetch("goldberg_2018_pea")
@misc{https://doi.org/10.7910/dvn/nwyx4n,
doi = {10.7910/DVN/NWYX4N},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/NWYX4N},
author = {Goldberg, Lewis R.},
keywords = {Social Sciences},
title = {(21) Personality, Emotions, and Attitudes (PEA)},
publisher = {Harvard Dataverse},
year = {2018}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |