1,388 responses from 709 respondents to 2 items.
| Description | Computer-use questions from the Eugene-Springfield Community Sample, answered as one of up to twelve unlabelled categories (A-L). 709 respondents x 2 items = 1388 responses; categories A/B/C/D/E/F/G/H/I/J/K/L. |
|---|---|
| Reference | Goldberg, L. R. (2018). Eugene-Springfield Community Sample, (27) Skills, Possessions, and Abilities [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/IOA6EE |
| DOI | 10.7910/DVN/IOA6EE |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IOA6EE |
| Responses | 1,388 |
|---|---|
| Respondents | 709 |
| Items | 2 |
| Response categories | 12 |
| Responses per respondent | 1.958 |
iditemtext
id, item are defined in the IRW data standard and mean the same in every table. For the other columns, including what item codes and covariate values stand for, any codebook is the one 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_spa_computer_use_nom", source = "nom")
# Python
pip install irw
import irw
df = irw.fetch("goldberg_2018_spa_computer_use_nom", source="nom")
@misc{https://doi.org/10.7910/dvn/ioa6ee,
doi = {10.7910/DVN/IOA6EE},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/IOA6EE},
author = {Goldberg, Lewis R.},
keywords = {Social Sciences},
title = {(27) Skills, Possessions, and Abilities (SPA)},
publisher = {Harvard Dataverse},
year = {2018}
}
| IRW version | v566 |
|---|---|
| Redivis dataset | irw_nominal v4.1 |
| Redivis dataset DOI | 10.57761/9hzd-dc70 |
| Manifest pin for this IRW version | v4.1 |
| Metadata source | irw_meta v43.0 |