goldberg_2018_spa_skills
13,069 responses from 730 respondents to 18 items.
About this table
| Description | Skills, Possessions and Abilities (ESCS), self-rated proficiency in 18 specific skills. resp 1-6. 730 respondents x 18 items = 13069 responses. |
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| Reference | Goldberg, L. R. (2018). Eugene-Springfield Community Sample [Data set]. Harvard Dataverse. https://dataverse.harvard.edu/dataverse/ESCS-Data |
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| Licence | CC0 1.0 |
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| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IOA6EE |
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Size and shape
| Responses | 13,069 |
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| Respondents | 730 |
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| Items | 18 |
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| Response categories | 6 |
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| Responses per respondent | 17.903 |
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| Responses per item | 726.056 |
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| Density | 0.995 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Program-based |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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Columns
cov_agecov_educationcov_employmentcov_ethnicitycov_marital_statuscov_sexiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("goldberg_2018_spa_skills")
# Python
pip install irw
import irw
df = irw.fetch("goldberg_2018_spa_skills")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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