2,302 responses from 351 respondents to 9 items.
One of 3 tables from the same source; this one is the ongoing_satisfaction table. The others are listed under Related tables.
| Description | 9-item scale on satisfaction with ongoing grief-support sources, 5-point Likert, same survey as cacciatore_2021_isel |
|---|---|
| Reference | Cacciatore J, Thieleman K, Fretts R, Jackson LB (2021) What is good grief support? Exploring the actors and actions in social support after traumatic grief. PLoS ONE 16(5): e0252324. |
| DOI | 10.1371/journal.pone.0252324 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0252324.s002&type=supplementary |
| Responses | 2,302 |
|---|---|
| Respondents | 351 |
| Items | 9 |
| Response categories | 5 |
| Responses per respondent | 6.558 |
| Responses per item | 255.778 |
| Density | 0.729 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Satisfaction with ongoing social support after traumatic grief (study-designed survey item set) |
|---|---|
| Mean words per item | 1.889 |
| Mean characters per item | 14.667 |
| Mean characters per response | 20.800 |
| Flesch-Kincaid grade level | 6.970 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cacciatore_2021_grief_support.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_gender | Covariate | made in the build script |
What item codes and covariate values stand for is in the source’s questionnaire, S1_Questionnaire.docx, which shows the item wording.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cacciatore_2021_ongoing_satisfaction")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("cacciatore_2021_ongoing_satisfaction")
@article{Cacciatore_2021, title={What is good grief support? Exploring the actors and actions in social support after traumatic grief}, volume={16}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0252324}, DOI={10.1371/journal.pone.0252324}, number={5}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Cacciatore, Joanne and Thieleman, Kara and Fretts, Ruth and Jackson, Lori Barnes}, editor={Fernández-Alcántara, Manuel}, year={2021}, month=May, pages={e0252324} }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v37.0 |